Speaker 1: All Tulsa BD and move them into this century and
Speaker 1: help forward investigations.
Speaker 2: So we're looking forward to that. I've heard it before.
Speaker 1: He's a national speaker and he's a very dynamic speaker,
Speaker 1: so we're looking forward to.
Speaker 2: That as well.
Speaker 1: I want to start out in saying this is a forum,
Speaker 1: informational forum, This is not a debate.
Speaker 2: We will have a.
Speaker 1: Time at the end of this session for questions, So
Speaker 1: hold your questions till the end, and at the end
Speaker 1: we'll take questions.
Speaker 2: We'll take as many questions as we.
Speaker 1: Possibly can, but we're gonna have a hard stop at
Speaker 1: eight o'clock, so you're aware of that. If we're gonna
Speaker 1: try to answer both questions throughout this presentation that we've.
Speaker 2: Gotten through the email.
Speaker 1: We've got multiple questions that we're asked in different ways.
Speaker 1: We're trying to hit those and just all at once
Speaker 1: as we go through this presentation. There's a lot of
Speaker 1: knowledge up here and a lot of information, and.
Speaker 2: As Jen we'll said, we've been a little researching this problem.
Speaker 1: Jet for over a year, but we've done a lot
Speaker 1: of deep dives into this. We're trying to make sure
Speaker 1: we're doing the best thing we can from the city.
Speaker 1: Lord of our job is to do the best we
Speaker 1: can for the sea Barrows well is to save lives
Speaker 1: and investigate grinds and make this the safe relations. So
Speaker 1: it's really important that our community supports at and we
Speaker 1: want to make sure that we're giving you any information
Speaker 1: to do that.
Speaker 2: With that being said, if I'm made, have you gout
Speaker 2: your hands.
Speaker 1: And went over with the word break Lord, God, have
Speaker 1: me father as we come to you not and just
Speaker 1: be with these persons in this room. Lord, lead us
Speaker 1: and guides. Help us to be respectful to one another,
Speaker 1: hear each other, and Lord, help us to open our
Speaker 1: ears and and close our mouths in some aspects so
Speaker 1: that we hear what we're hearing and understand what we're hearing,
Speaker 1: as well as share share what we feel like we
Speaker 1: need to share in total respect. Ord, just be with
Speaker 1: us tonight and I'll let you. We'll be done, and
Speaker 1: your precious name.
Speaker 3: Amen.
Speaker 2: We're gonna start with mister Wildric.
Speaker 4: Thinking it a lot.
Speaker 2: So that was the assistants returning here right there.
Speaker 5: Une raise you, So.
Speaker 4: Is this working sort?
Speaker 6: Okay?
Speaker 4: I can talk really loud to We'll know that. So
Speaker 4: everybody welcome. I appreciate all being here. It's a lot
Speaker 4: of community interests. I appreciate that you got a lot
Speaker 4: of places and have a thing like this and no
Speaker 4: one show up. And I'm talking to Chief Tackleberry all night,
Speaker 4: that'd be be something. So if they go being here, Yeah,
Speaker 4: this is the policy decision. I'm not here making policy.
Speaker 4: I'm a sision of Bartlesville. But I'm here to give
Speaker 4: you information what the law is and what the law
Speaker 4: means in this regard to these licensed plate meater cameras.
Speaker 4: I'm gonna say LPR a lot because I can say
Speaker 4: that fast. I'm still wanna say, look like these guys
Speaker 4: behind you, these captain's over here, look at their uniform.
Speaker 4: Look at amazing they still fit. You talk about this?
Speaker 6: You mean general that makes this all right?
Speaker 4: So here we're gonna do It's like a look at
Speaker 4: educational outline here. So we're gonna talk the fourth amend
Speaker 4: the first, then what a search is, and ex patient
Speaker 4: of privacy, some examples in Kaes law. Of course, my insurers,
Speaker 4: because I can say something up here all right, bought
Speaker 4: me a little bit. You can probably talk to my accent.
Speaker 4: I'm from New York. I've actually the sky took Oklahoma,
Speaker 4: went to ou we practices two thousand and six. I prosecuted,
Speaker 4: so you know kind of my experience in this I
Speaker 4: prosecuted all types of tribes. Every murders is two thousand
Speaker 4: and six in this county. I've had a part of.
Speaker 4: If I've not tried the case directly of, I've prosecuted
Speaker 4: hundreds of child the lectures. I prosecuted rape cases. I've
Speaker 4: prosecuted traffic tickets. I prosecuted all handled a lot of
Speaker 4: search and seizure issues in those cases. I also enjoy
Speaker 4: hostel rooms. So here we are, and I hate power points.
Speaker 6: So here I go.
Speaker 4: So I would have put this up here. This is
Speaker 4: the fourth amendment of your Bill of Rights. Okay. A
Speaker 4: lot of folks may have never read this. Okay, I
Speaker 4: know some attorneys who might not ever read this. I
Speaker 4: kind of highlighted or I actually have bolded and I
Speaker 4: underlined the important part for a while. We're here for tonight.
Speaker 4: Also those who don't know, okay, a Constitution Article two,
Speaker 4: section thirty, copy and paste of that, well, same things.
Speaker 6: I get it.
Speaker 4: I'll highly have the same stuff. So again, I'm not
Speaker 4: good PowerPoint person. I apologize, so what is a search
Speaker 4: me if two averages of search, one is a government
Speaker 4: violation of persons reasonable expectation of privacy and I circled
Speaker 4: it must come later on. That's the part of the
Speaker 4: search we're here for. They're part of the search to
Speaker 4: the other side, from the officers or government looking for property.
Speaker 6: Not here for that.
Speaker 4: I'm talking about the expectation of privacy talks about LPR cameras. Okay,
Speaker 4: by going back up and look at that scene is
Speaker 4: a PowerPoint. What I'm doing here. Expectation of privacy. It
Speaker 4: can exist almost anywhere. Like right now, do I have
Speaker 4: an expectation of privacy in this room?
Speaker 7: No?
Speaker 4: Absolutely not right, I'm here in front of one hundred
Speaker 4: my closest friends here, right, no expectation of privacy. But
Speaker 4: you can have it almost anywhere given the circumstances. Okay,
Speaker 4: what if it's behind these curtains over here? Maybe this
Speaker 4: kind of depends on the situation, so it can happen
Speaker 4: almost anywhere. The words can happen almost anywhere. There's two
Speaker 4: parts to your expectation of privacy. The first one is
Speaker 4: a subjective standard that the individual that they expect to
Speaker 4: be in a private situation Okay, do I expect it
Speaker 4: like in my home? You expect me to have privacy
Speaker 4: in your home? Right, everybody expects that. So there's some
Speaker 4: subjective ideas inside your home. That's the most obvious one, right,
Speaker 4: you know inside the home is the curtains pulled. Now
Speaker 4: we can't see inside your house. Even more expectation of
Speaker 4: privacy in the backyard, a privacy offense. That's less, but
Speaker 4: still you give an expectation of privacy either a subjective
Speaker 4: standard okay, and it's not or it's an end there's
Speaker 4: an objective standard. That's what the reasonable person would say.
Speaker 4: You have an expectation of privacy, okay. Examples again, the
Speaker 4: biggest one inside your home, a public restaurant, you're in public.
Speaker 4: Look what you expect privacy in the public ressiroom. Right
Speaker 4: inside a hotel room. You expect that it's not your place, right,
Speaker 4: but you expect to have an expectation of privacy in
Speaker 4: that hotel room. And the main case that we attorneys
Speaker 4: look at, we're looking at privacy laws. The benchmark case
Speaker 4: is called Pats b. Ninth Us the nineteen sixty seven.
Speaker 4: Then they had a lot of Scinston. Obviously, some examples
Speaker 4: of locations are protected. We've put a few minutes. Go
Speaker 4: look through this again. Number one, your home arrest. But
Speaker 4: you have the most highest expectation in your house, inside
Speaker 4: your residence. Okay, the cartilage of your house. Hertlage is
Speaker 4: a fun word. Heritledge is like the place intimately connected
Speaker 4: with your home. Okay, it's kind of a moving target.
Speaker 4: But again, you're in your backyard. You got a privacy
Speaker 4: defense up. You got maybe some kind of cover of
Speaker 4: your back porch. That would be the coritilage of your house. Okay,
Speaker 4: that's the second highest place of expectation of privacy. Third,
Speaker 4: the minion never enclosed ruts like out buildings that you
Speaker 4: have a barn on your your property, give a detached garage, those.
Speaker 8: Kinds of things.
Speaker 4: Maybe your workplace. So it kind of that that's a
Speaker 4: big different, different thing.
Speaker 9: Right.
Speaker 4: If you have a solo insurance firm or something, you're
Speaker 4: your office by yourself, you have you have an expectation
Speaker 4: of privacy in there. But if you work on the
Speaker 4: floor of Walmart, you don't write that, wouldn't think kip
Speaker 4: excation expectation of privacy on the world of Walmart, especially
Speaker 4: with the one hundred and thirty six camera down and Walmart.
Speaker 4: That's not exact. That's one hundred thirty six cameras of
Speaker 4: Walmart in our Barbesville. Not protecting exposed traits like my voice.
Speaker 4: That's not protected, your general appearance, my handwriting, stuff like that,
Speaker 4: obvious things.
Speaker 6: Not protecting.
Speaker 4: Voluntary disclosures, open fields. So this is where it is
Speaker 4: tricky between the privilege and other things. Open fields is
Speaker 4: like you have, you know, twenty acres you got your
Speaker 4: house in the area around your house is your kurt
Speaker 4: how much of that area of the bay, but you
Speaker 4: know the back of ten acres open fields. No expectation
Speaker 4: of privacy according to the case law of the Supreme Court,
Speaker 4: public areas. I like picking on Walmart. I guess Walmart.
Speaker 4: This place right here is the university. No expectation of privacy,
Speaker 4: aerial surveillance, garbage cans put it in there information, So
Speaker 4: I tell Chief michel Berry something. No expectation of privacy
Speaker 4: also includes bank statements, phone numbers, IPA addresses, and drug doogs. Okay, now, people,
Speaker 4: I've heard I did a little research here. I kind
Speaker 4: of watched a few city council meetings, been on the
Speaker 4: internet a little bit, and it's a scary place, of course.
Speaker 4: Facebook and I there's an ideology if you will on
Speaker 4: Facebook that you have expectation of privacy in your license plate.
Speaker 6: Okay, you don't.
Speaker 4: Okay, there's a lot of cases still behind that. In
Speaker 4: nineteen eighty you guys read that and it basically says good,
Speaker 4: that's an older case. Right, No court has ever given
Speaker 4: any indication you have an expectation of privacy from a
Speaker 4: license plate.
Speaker 10: It's okay.
Speaker 7: This is a.
Speaker 4: Situation where an officer's going by ran a tag car
Speaker 4: was stolen. They get in the car, they find drugs.
Speaker 4: No education of privacy on your license plate. Nineteen ninety nine,
Speaker 4: A motors has no privacy interest in her license plate.
Speaker 4: The same thing, I won't pronounce that last name versus
Speaker 4: city of Houston happening, but the same thing another Supreme
Speaker 4: that's a fifth circuit case, a six circuit case, no
Speaker 4: fourth union right for a computer check from of a
Speaker 4: license plate. That's us to be fourteen thousand dollars. That's
Speaker 4: a that was a federal forfeiture case or forfeiting and
Speaker 4: drug dealers money just drug proceeds. That's a two thousand.
Speaker 4: In two thousand and three, again sighting cats. In that case,
Speaker 4: I cannot fass of really kind of focuses on our
Speaker 4: LPR situation right now. But vehicles out in the world
Speaker 4: driving around you have no expectation of privacy. Check being
Speaker 4: in this room right now, you have no expectation of privacy.
Speaker 4: If your car is driving in a public roadway, you
Speaker 4: can't expect it to be private. Although there's things about
Speaker 4: that vehicle are not going to be part of a
Speaker 4: privacy concern. Is the car read does it have you know,
Speaker 4: fancy wheels on it or ten windows on it?
Speaker 8: Just like your license plate.
Speaker 4: Same thing. You have no expectation of privacy. So I
Speaker 4: was asked about do you VET program? Do you VET
Speaker 4: program is an insurance enforcement program that started in twenty seventeen,
Speaker 4: twenty eighteen, and it was designed by some older district
Speaker 4: attorneys to the address the need. The issue in Oklahoma
Speaker 4: was what're we having this next slide issue Oklahoma was
Speaker 4: that over twenty five percent of the vehicles in the
Speaker 4: road twenty seventeen had no insurance. That's a lot, right,
Speaker 4: I mean, a core of this room's driving here of
Speaker 4: no insurance in your car. That's a problem people like
Speaker 4: me who have insurance, right, because what's.
Speaker 10: Going to happen?
Speaker 4: You hit me, I'm out the money rid, I'm out
Speaker 4: my deduck Bulls State farm. It's not gonna be a
Speaker 4: pretty picture, right. So we're trying to fix that problem.
Speaker 4: So what we got to litership do is allow us
Speaker 4: to use a licensed preate plate reader cameras. There's seidy
Speaker 4: eight of them across Oklahoma. And if you're driving down
Speaker 4: the road in Oak and Barswoods, no one road, you're
Speaker 4: got no one road and you have no insurance, probably
Speaker 4: shouldn't said that shit I was, I'm avoided now I'm
Speaker 4: kind of probably probably cost you money now. So driving
Speaker 4: down no water road you have no insurance, the home office,
Speaker 4: the distri Attorney's counsel UC in the city, they're gonna
Speaker 4: get a picture your license plate and the picture you're driving.
Speaker 4: They're gonna send your letter in the mail and say
Speaker 4: you need to get insurance, and you need to write
Speaker 4: this second. And a lot of folks can't get insurance
Speaker 4: because the high risk insurance. We also have a program
Speaker 4: that gets you insurance. You've got a paid for obviously,
Speaker 4: so as in twenty fifty to twenty five percent is
Speaker 4: over twenty five percent. I don't have the exact number,
Speaker 4: it was over twenty five percent, and their goal was
Speaker 4: to get, you know, identify them, get them insurance, or
Speaker 4: if not get insurance, suspend their driver's license because you
Speaker 4: have to have insurance Oklahoma roads right for everybody's benefit.
Speaker 4: And as of this morning, it's actually one hundred and
Speaker 4: twenty four thousand people have been enrolled since implementation. And
Speaker 4: I say didn'tet roll into twenty twenty one and the
Speaker 4: first there weren't a lot of LPR companies out there
Speaker 4: are willing to help us out with this because they
Speaker 4: will be wanted, like seventy cameras. So it took several
Speaker 4: years to get this thing rolling. It really got rolling
Speaker 4: in twenty twenty one and one hundred and twenty three
Speaker 4: has a just wor. One hundred and twenty four thousand
Speaker 4: people are enrolled and of that twenty five percent of
Speaker 4: the quarter of Oklahoma's not having insurance. But cut it
Speaker 4: down thirty six percent. That's pretty cool. I mean, tell
Speaker 4: the people who drive insurance abaying the law end the
Speaker 4: thing I had to talk about. Kind of Boston, there
Speaker 4: is subsection g A Section seven Dash six H six
Speaker 4: Dash one A title forty seven.
Speaker 10: That's a mouthful, isn't it.
Speaker 4: So I've heard people say that G says that the
Speaker 4: only way you could have an LPRs attached to this program.
Speaker 4: You don't have to read G by itself read the
Speaker 4: whole thing. That's not what G means. G means that
Speaker 4: in the under the UBAT program, if you using the
Speaker 4: UVEAT cameras with seventy eight cameras, they can only be
Speaker 4: used for the UVET program. Okay, those seventy eight cameras
Speaker 4: on Swan drive. Who's man, I don't really messed up now, Okay,
Speaker 4: strike that POX twenty three doesn't come put on the US.
Speaker 8: Okay.
Speaker 4: So that's what G stands for. G does not say
Speaker 4: in that statue, which remember, g's only about title forty
Speaker 4: seven to seven dash six oh six point one, but
Speaker 4: the UFT program, it's not about lpr's on a greater steel.
Speaker 4: All right, here's the part I get the all right,
Speaker 4: why am I here? I could ever become here? But
Speaker 4: the other reason I'm here is because this helps us
Speaker 4: help Okay, this helps us help you. Right, I'm not here,
Speaker 4: mister man fun, this is fun Thursday night, But I'm
Speaker 4: here because these at LPRs. Get us evidence, okay, and
Speaker 4: believe it or not. I don't just pick up a
Speaker 4: phone book the prosky, I prospect feel with evidence. I
Speaker 4: need evidence. And like I said right here, I have
Speaker 4: never had too much evidence. Okay, I guarantee you Captain
Speaker 4: Elkins when he was over c I he's over CID now,
Speaker 4: he never came off and said I got all this evidence.
Speaker 4: I said, you know what, it's too much. Daniel, Hey,
Speaker 4: get back to the PD. I don't want anyone this
Speaker 4: evidence stuff you got that's never had a hesit, not
Speaker 4: yet maybe one day at LPR cameras and call out
Speaker 4: a dutch plug. So also pictures, Jerry's who don't dread
Speaker 4: didn't before anybody a few of you was a good
Speaker 4: you kidding? No, I've got thumbs down, all right, all right,
Speaker 4: so we kind of one forever. Pictures are worth a
Speaker 4: thousand workers, right, I mean, if you have a picture
Speaker 4: of a vehicle in a place it shouldn't be, or
Speaker 4: even a picture of a murderer driving away from the
Speaker 4: vehicle and in that vehicle we just killed somebody a
Speaker 4: thousand words, right, that's way more to me talking in
Speaker 4: front of a jury. If I could show a picture
Speaker 4: of the killers suv driving from the crime scene. Big
Speaker 4: deal pictures. Juris expect pictures. It corroborates things too. We've
Speaker 4: had cases since LPR been in Marksville. We've been able
Speaker 4: to corroborate things or just corroborate things because it didn't happen.
Speaker 4: And that's just as important. I could forget. If somebody
Speaker 4: tells you a story and say, hey, I was over
Speaker 4: on so and so Street when it went down and
Speaker 4: their car wasn't, it could be a problem for them, right.
Speaker 4: Corroboration's huge in cases, and it helps find the other
Speaker 4: evidence of a crime. We had a really bad murder
Speaker 4: here by Adams Golf Course a few years ago, and
Speaker 4: thankfully everyone in that not everyone, but most people in
Speaker 4: that neighborhood had ring doorbellt cameras and other kinds of
Speaker 4: abils in their house. But for that we don't saw
Speaker 4: that crime. Okay, But if we'd have had an LPR
Speaker 4: cameras on the we could have tracked this vehicle through Bartlesville.
Speaker 4: This vehicle was going through all the neighborhoods in Martlesville
Speaker 4: breaking into our cars Oliver Bartlesville all night long until
Speaker 4: a guy said, try to stop these kids from doing it.
Speaker 4: Got shot in the face. Okay, if we'd have had
Speaker 4: an LPR camera, But if we'd have quickly been to
Speaker 4: find out who that car was, tracked the car quicker
Speaker 4: and probably found more evidence than may have found a gun.
Speaker 4: But this is what hoping LPR cameras can do for us.
Speaker 4: The DA's offs to do for you in this end,
Speaker 4: Washington County. My biggest thing too is like find people
Speaker 4: and find children quickly. Okay, Like I'm the DA because
Speaker 4: I want to protect children. That's my biggest thing in
Speaker 4: protecting children. And I just I just I just watched
Speaker 4: the program on the Peacock Network about a documentary about
Speaker 4: you know, Amber alerts are better Amber alerts.
Speaker 6: He doesn't.
Speaker 4: Amber is a girl's name. Amber is a girl Arlington,
Speaker 4: Texas that was killed nineteen ninety six, and they had
Speaker 4: a description of the vehicle nineteen ninety six, they couldn't
Speaker 4: find finders who's found dead four days later. That's who
Speaker 4: Amber is. If we had LPR cameras, we might find
Speaker 4: Amber four days Right. It is my nightmare for one
Speaker 4: of these guys to call me and say kids can
Speaker 4: snatch out the.
Speaker 6: School yard, right, my nightmare.
Speaker 4: And if we have LPR, can we can find these kids?
Speaker 4: If we want to stop crime, help crime, solve crime. Man,
Speaker 4: this is where it's at. This is a big ticket
Speaker 4: for me.
Speaker 10: Okay, So.
Speaker 4: Doesn't make Barlsville, Washington County safer. Absolutely, you can't say
Speaker 4: it doesn't make it safe. Yeah, I said, air availables
Speaker 4: a resource. People come in my office all the time concerned, concern, right,
Speaker 4: their car has been stolen, something's happened to them, and
Speaker 4: I want to tell them that every available resource is
Speaker 4: being used to soalve that crime, to get their car
Speaker 4: back to whatever we got to do to help their
Speaker 4: step person. It's gonna be tough to say every resource
Speaker 4: is being used about these cameras, right, because they're gonna
Speaker 4: tell me, well, Detective White and Tulsa PD, he's got
Speaker 4: two hundred and twenty two cameras. If he saw and
Speaker 4: cries enough and rite with these things, where are you doing?
Speaker 11: Right?
Speaker 4: That's the conversation we're gonna have from the DA's office.
Speaker 4: So that's why I get why I'm here. Organized crime.
Speaker 4: I don't mean the mob folks. We don't have the
Speaker 4: mobs on the Marblesville.
Speaker 6: I mean more like carburdar.
Speaker 10: Stuff like that.
Speaker 4: Guys, there are people who's the that's kind of their
Speaker 4: job is to break into our cars, right if you
Speaker 4: help to identify that, like their drug yards who carry
Speaker 4: major weight with guns and they shoot people in this town.
Speaker 4: We've had drug yards. He'd make tens of thousands of
Speaker 4: dollars a month, which you know, that's a good living. Now,
Speaker 4: I think we're gonna tax free ten thousand dollars in months.
Speaker 4: How did that feel? Ten thousand dollars in cash? I'm
Speaker 4: not fair. That's big void money right there. And that's
Speaker 4: the kind of drug ulas we have in Bartlesville. With
Speaker 4: these cameras, we have identified traffic right, organize retail thefts
Speaker 4: of We have a lot of this affecting some of
Speaker 4: our stores here in Martlesville.
Speaker 9: Our next slides.
Speaker 6: This is kind of ridiculous.
Speaker 4: I was told yesterday you can't even smell the perfuman
Speaker 4: alta anymore. They give misrebul I had no idea to
Speaker 4: yesterday because and that's directly because of people out of
Speaker 4: tulsa sorry type of life who come up here to
Speaker 4: Barblesville and they hit our stores. And fifty is kind
Speaker 4: of a big, big of this and that's a problem
Speaker 4: with Marbles School, that's a problem with Walmart. Is a
Speaker 4: problem to Alta Probam lows. These are places we need
Speaker 4: in this town to build an economy, for a tax space,
Speaker 4: things like that in this town. And that's a real
Speaker 4: thing is happening in this town all the time, organized
Speaker 4: retail theft. There are people who every day are stealing
Speaker 4: stuff from our stores on Facebook Marketplace. Every day this
Speaker 4: happens and it'd be great to be identify them quickly
Speaker 4: and buy these these folks. So if that's my name,
Speaker 4: that's who I am, that's my phone number, that's my emails.
Speaker 4: I talk to these forums like every year I have.
Speaker 4: I'm forced to come these forums and talk, which is fine.
Speaker 4: I do most of the time by teeth.
Speaker 10: I col very.
Speaker 4: But I see this all the time. People ask me
Speaker 4: all the time, Hey, I got this one thing going on.
Speaker 4: He helped me out. If I know about it, I
Speaker 4: can try to help you out.
Speaker 6: Email me.
Speaker 4: Okay. I was on Facebook the other day and somebody
Speaker 4: said that all this horrible thing had happened to them,
Speaker 4: and thankfully someone said before I got to say it,
Speaker 4: have you called law enforcement? Well, no, I've put on
Speaker 4: Facebook First, that's how you saw crimes in Oklahoma? Now right, No, guys,
Speaker 4: put it on Facebook. It's fantastic, but you know, or
Speaker 4: tell them the Xeberator prize. Huh baby, But also clue
Speaker 4: me in on it. Okay, I don't know about the
Speaker 4: drug ever down the street.
Speaker 6: Let me know.
Speaker 4: I don't know about the party house given teenagers alcohol
Speaker 4: and booze in marijuana. Let me know. Okay, let the
Speaker 4: police department know. Facebook's good too, But I'd like to
Speaker 4: know the first hand to emot. Can I get will
Speaker 4: Drake have your district attorney? I'd like to a lot
Speaker 4: of questions later on.
Speaker 6: Thank you, thank you?
Speaker 2: Will you appreciate it?
Speaker 1: Also, I want to add that one of the cameras
Speaker 1: that we have hit down was purchased by the District
Speaker 1: Attorney's office.
Speaker 2: Just apartment his effort, uh.
Speaker 12: Gorminder of the bus.
Speaker 1: Yeah, well I'll tell you what it does say to
Speaker 1: sag So we'll talk about that later.
Speaker 6: Okay.
Speaker 1: Well, with that, we'll have Kristen with flock cameras come
Speaker 1: forward and give him her presentation again.
Speaker 2: At the end of this will allow for questions, h see.
Speaker 13: Okay, Then good evening, everyone, Oh turn locked, good evening.
Speaker 14: Everyone again, my name is Kristen McLoud. I'm a community
Speaker 14: engagement manager with Block Safety, and as Hector mentioned, our
Speaker 14: team we have the privilege of coming to communities like
Speaker 14: yours and sharing information about Flock and helping answering answering
Speaker 14: questions about our technology. I can't thank you enough for
Speaker 14: the interest and civic engagement tonight. This is probably one
Speaker 14: of the largest crowds we've had, and we attend many
Speaker 14: city council meetings and meetings, so we genuinely appreciate your
Speaker 14: interest in this and again thank you for your time
Speaker 14: this evening. I'll start a little bit of little bit
Speaker 14: of history about the company itself. Block was founded back
Speaker 14: in twenty seventeen after our CEO, Garrett Langley, actually experienced
Speaker 14: an uptick of crime in his own neighborhood.
Speaker 13: Impacted. He was impacted, and they.
Speaker 14: Got frustrated and in conversations with their law enforcement, realized
Speaker 14: that they just didn't have the evidence needed to help
Speaker 14: solve these crimes and put a stop to what was
Speaker 14: happening in their neighborhood. So Garrett, an engineer by trade,
Speaker 14: had many conversations with local law enforcement and said, you know, hey,
Speaker 14: we've provided personal doorbell footage. Like mister Drake mentioned, why
Speaker 14: can't we impact and stop these crimes?
Speaker 13: And he learned that it was really critical to have
Speaker 13: vehicle information.
Speaker 14: Over the vast majority of crimes are committed in conjunction
Speaker 14: with use of a vehicle, so having a license plate number,
Speaker 14: our vehicle description was really important in a really critical
Speaker 14: investigative lead. After those conversations, Garrett set out and created
Speaker 14: a company to provide law enforcement and communities with tools
Speaker 14: to provide that critical information, those critical investigative leads. And
Speaker 14: he started with our flagship product, which is a license
Speaker 14: plate reader, which we'll focus on today. We started to
Speaker 14: learn that across the country, law enforcement was really strange
Speaker 14: with resources to make matters worse, it's getting really hard
Speaker 14: to recruit and retain officers.
Speaker 5: We asked a lot of.
Speaker 13: Our first responders, a lot of our law enforcement.
Speaker 14: They wear many hats, they solve a variety of different problems,
Speaker 14: and the job is tough.
Speaker 13: So in listening to our.
Speaker 14: Law enforcement customers, we have since expanded our platform to
Speaker 14: add even more tools and building these tools, something that
Speaker 14: anchors us is that we make these privacy minded, and
Speaker 14: we make them ethical and efficient and.
Speaker 13: Also affordable for communities across.
Speaker 10: The country to use.
Speaker 13: So enter what we call a collaborative policing technology.
Speaker 14: And really what this is is our tools provide law
Speaker 14: enforcement the ability to communicate quickly and efficiently and effectively
Speaker 14: to help solve and eliminate crime. And that means within
Speaker 14: departments and also collaborating with regional other law enforcement agencies
Speaker 14: in your region as well as within the state of Oklahoma.
Speaker 14: And that communication is really paramount. Crime knows no bounds,
Speaker 14: and so being able to provide law enforcement the ability
Speaker 14: to communicate with each other on these investigative leads on
Speaker 14: these crime that are impacting.
Speaker 13: Communities is paramount.
Speaker 14: Block as a company has over one thousand mission driven employees,
Speaker 14: you have many folks who come from helping professions who
Speaker 14: have dedicated their previous careers.
Speaker 13: To helping communities and making them safer. And we truly
Speaker 13: are anchored to our.
Speaker 14: Mission and vision, which is to eliminate crime. We are
Speaker 14: helping solve ten percent of reported crime in the nation.
Speaker 14: Over five thousand communities in the nation also partner with FLOCK,
Speaker 14: and we're very proud to say that we're working with
Speaker 14: many communities. So back to the license plate reader the falcon,
Speaker 14: which is our focus tonight. This is a picture of
Speaker 14: the actual camera. When these are when you see them
Speaker 14: out in your community. They are mounted to a pole.
Speaker 14: They're about twelve to fourteen feet in the air. Solar powered,
Speaker 14: so you'll see a solar panel attached topically above them.
Speaker 14: There's stationary cameras and they're placed at fixed locations and
Speaker 14: if they take still images of vehicles that pass by
Speaker 14: the cameras and the images are focused on the rear
Speaker 14: of the vehicle, and we're really again honing in on
Speaker 14: the vehicle details, not people. It's really all about the
Speaker 14: vehicle details. In gathering that objective information.
Speaker 13: For law enforcement, we.
Speaker 14: Provide an integration with the National Crime Information Center, So
Speaker 14: when a wanted vehicle passes by a camera in your community,
Speaker 14: your officers are alerted within about twenty seconds.
Speaker 13: Of that vehicle passing passing by the camera.
Speaker 14: We're also integrated with the National Center for Missing and
Speaker 14: Exploited Children. Mister Drake mentioned those Amber alerts, So if
Speaker 14: vehicle is associated with an active Amber alert, if that
Speaker 14: vehicle passes by one of the cameras in your community, again,
Speaker 14: your officers are getting that information.
Speaker 13: Really quickly, so I mentioned that Garrett had founded the
Speaker 13: company and were very.
Speaker 14: Very much invested in utilizing technology for good and having
Speaker 14: an ethical product with privacy in mind. That first point
Speaker 14: and how we do that is that first point is
Speaker 14: that the data your.
Speaker 13: City owns, all of that data.
Speaker 14: Block will never sell or share that information to a
Speaker 14: third party, and that is very clear in our contract
Speaker 14: with the city, and that's a really important piece.
Speaker 13: What that also means is that your department is within has.
Speaker 14: Full control of that information and who really what other
Speaker 14: law enforcement agencies they elect to share that information with.
Speaker 14: Block automatically deletes the data at the thirty day mark.
Speaker 14: So when an image reaches its thirty day birthday, if
Speaker 14: you will, it's hard deleted and unrecoverable. And what that
Speaker 14: means is it's balancing that investigative value for your officers
Speaker 14: while also protecting privacy.
Speaker 13: There is no national standard for data attention.
Speaker 14: Of licens but reader information, so we settled on thirty
Speaker 14: days because again, it provides that investigative value. And an
Speaker 14: example of that would be, say a homeowner is on vacation,
Speaker 14: they come back and they realize that their home burblarized,
Speaker 14: but it's been two weeks, they'll be able to report
Speaker 14: that crime, and then your officers will be able to
Speaker 14: investigate and see there's critical evidence to follow up on.
Speaker 13: Another situation is when a traumatic crime.
Speaker 14: Occurs, if a victim is assault kid and maybe isn't
Speaker 14: ready to report that crime, it really provides a buffer
Speaker 14: so when they are ready, when they do report that
Speaker 14: crime to officers, your officers will still have the ability.
Speaker 13: To go back thirty days.
Speaker 14: But again with that balance of it's not a long
Speaker 14: term stockpiling of information. No individual or personal data is
Speaker 14: kept in the Flock system.
Speaker 13: These are just still.
Speaker 14: Images of the rear of a focused on the rear
Speaker 14: of a vehicle, and that's it. Security Data security is
Speaker 14: also paramount our images.
Speaker 10: Our data is.
Speaker 14: Encrypted end to end and stored securely on Amazon Web
Speaker 14: Services cloud and we take the utmost care.
Speaker 13: So even though there is no personal information contained.
Speaker 14: Within the Flock system, data security is of the utmost importance.
Speaker 13: We also really believe in enabling transparency and accountability.
Speaker 14: So in the Flock system, when officers are investigating a crime,
Speaker 14: a search reason is required, and what that does is
Speaker 14: generate an ability for your department to audit the system
Speaker 14: and ensure that it's being utilized in importance with department policy.
Speaker 14: Block technology also reduces bias in crime solving by providing
Speaker 14: that objective data. We also unique to FLOCK is we
Speaker 14: offer what we call a transparency portal.
Speaker 13: And if your brtles FILPD has a transparency portal, it'll
Speaker 13: be available on the department's web page.
Speaker 14: You'll also be able to Google that and pull up
Speaker 14: the transparency portal and that provides an overview.
Speaker 13: Of what the system does.
Speaker 14: It also provides information, you know, how many vehicles have
Speaker 14: PSSD by the cameras, policy information so.
Speaker 13: That you can see what the system is being used for.
Speaker 13: This is an example of Tulsa PDS transparency portal. Can
Speaker 13: you see and to finish up so we are working
Speaker 13: in the state of Oklahoma.
Speaker 14: These are all of the law enforcement agencies that we're
Speaker 14: currently partnering with to solve and prevent crime. So Tulsa PD,
Speaker 14: this is an example of some of the return on
Speaker 14: investment that they've experienced. Within the first couple months of
Speaker 14: having their FLOCK cameras at the community.
Speaker 13: They reported that they were able to recover twenty.
Speaker 14: Stolen vehicles, six stolen guns, four hundred thousand dollars in
Speaker 14: stolen property and had arrested homicide suspect. This is an example.
Speaker 14: We rely on our customers to provide their success stories
Speaker 14: to us, so this is a story that more PD
Speaker 14: shared with US. Officers had responded to reports of.
Speaker 13: A murder that had occurred at a local residence.
Speaker 14: Investigators at the scene were able to identify a likely suspect.
Speaker 14: Officers were able to enter the suspects vehicle in that
Speaker 14: vehicle information into the flock system and create an alert,
Speaker 14: and they found that the vehicle had been detected in
Speaker 14: the area the night of the murder, so again providing
Speaker 14: that really critical evidence. After further investigation DNA tests, the
Speaker 14: suspect was arrested in charged with first degree murder. In
Speaker 14: another serious events, this is an example of kidnapping that
Speaker 14: LPR helped helped officers to solve. Back in twenty twenty two,
Speaker 14: a man had stolen an suv with a six year
Speaker 14: old inside near Kansas when.
Speaker 13: The parent had gone into a convenience store.
Speaker 14: The suspect began traveling towards Oklahoma City, Whichita PD, who's
Speaker 14: a flock customer, quickly used the flock system to determine
Speaker 14: the suspect's direction of travel.
Speaker 13: Providing that critical piece of information and.
Speaker 14: Whichitap PD was able to notify Oklahoma Highway Patrol.
Speaker 13: They were able to then visibly locate the suspect.
Speaker 14: They made an arrest, and luckily were able to safely
Speaker 14: recover the child. And in these situations, in particular, time
Speaker 14: is at the essence, so being able to provide information
Speaker 14: to help find a needle in a haystack was really important.
Speaker 14: And then lastly, this is an example of how license
Speaker 14: but readers can help officers locate.
Speaker 4: Silver alerts.
Speaker 14: This person in O'fallen, Missouri, an elderly woman had left
Speaker 14: for a doctor's appointment in the morning.
Speaker 13: She had returned home, her daughter beg concerned and reported
Speaker 13: for safe An officer was able to enter in that
Speaker 13: person's UH that woman's.
Speaker 14: Vehicle inflammation into the FLOCK system, and it happened fifteen
Speaker 14: minutes later. Her vehicle passed by a camera in the community,
Speaker 14: alerting officers nearly immediately to her location, so they were
Speaker 14: able to locate her and return her safely home. And
Speaker 14: that concludes our portion of the presentation. Will hand it
Speaker 14: over to Captain.
Speaker 6: I just give me a second hand and pull of
Speaker 6: our last presentation, Sorr, I dead my power point here.
Speaker 6: Let's see if this is work this this so again,
Speaker 6: thank you for being out here.
Speaker 5: We're coming out in this evening the person thank you.
Speaker 6: Will Drake also appreciate your efforts here. So we're getting
Speaker 6: through this as we talk about flock. Hopefully this is
Speaker 6: so far, have answered some questions as we've put out.
Speaker 6: We asked a sentence to submit questions to our vpd
Speaker 6: Q and a website or email address, and so I'm
Speaker 6: gonna do my best to kind of group some of
Speaker 6: those questions as a whole as we make it through
Speaker 6: this very basic power point here. So with that, most
Speaker 6: of which Christ has already covered, this is the cameras
Speaker 6: are strategically placed for the most part on the out
Speaker 6: side or the perimeter of our city facing inwards. So
Speaker 6: these cameras here will take are able to cross for
Speaker 6: reference to a few different databases such as NCIC, the
Speaker 6: Naked Big. The cameras can enable give us alerts on
Speaker 6: stolen vehicles, miss the person to answer silver alerts and more.
Speaker 5: Yeah, here's another picture.
Speaker 6: Sure this is actually one of our cameras that have
Speaker 6: Virginia inherk but everything we do is backed by the policy,
Speaker 6: state law, or constitutional rights. So with that, we have
Speaker 6: a policy that dictates exactly how we're going to utilize
Speaker 6: this tool at the Marcional Police Department. The policy here
Speaker 6: essentially shows that we have to utilize it for legitimate
Speaker 6: law enforcement purposes and that.
Speaker 10: It's not going to be.
Speaker 6: Open to public record requests. The policy goes onto more
Speaker 6: to show who we're going to get access to. So
Speaker 6: currently there's seventy six more personnel with in the Marshall
Speaker 6: Police Department and we have this opened up to about
Speaker 6: nine individuals. Those individuals are gonna be our patrol lieutenants,
Speaker 6: our cide lieutenants, and our dispatch supervisors. The policy also
Speaker 6: leaves us some room to allow some key personnel to
Speaker 6: have access of One example of that, we have a
Speaker 6: gentleman on a day shift dispatch. He's been with us
Speaker 6: for more than thirty years. He currently controls the ole
Speaker 6: it's access, which is how we run driver's license and
Speaker 6: tag status to the state of Oklahoma. And plus he's
Speaker 6: kind of an IT guy, so it would make sense
Speaker 6: that we utilize him and his skills. Also the policy,
Speaker 6: we'll talk about the training on all officers and civilian
Speaker 6: personnel that's going to utilize this tool has to attend
Speaker 6: FLOG training. We're also want to go into conduct monthly
Speaker 6: audits to see how this tool is being utilized. Last,
Speaker 6: last is reporting. You know, any misuse you know that
Speaker 6: will be reported and investigated. There's a lot of tools
Speaker 6: out there that we currently have, such as our Oulitz
Speaker 6: terminals and our police cars. State law and policy dictates
Speaker 6: just the same as this on how officers will use
Speaker 6: utilize that equipment, and same thing applies if if there's
Speaker 6: misuse there, we look into it right away. Data sharing
Speaker 6: this is a big one here. Blog mentioned that there's
Speaker 6: over five that flocks in over five thousand communities. A
Speaker 6: lot of the questions submitted talked about who is sharing
Speaker 6: or who can see this data. Well, we're sharing currently
Speaker 6: about one hundred eleven networks out of that five thousand,
Speaker 6: and those one hundred eleven networks you can actually see
Speaker 6: on our transparency portal on who we're sharing with and
Speaker 6: that sharing could change from day to day to kind
Speaker 6: of depends on our investigated needs. And I'll talk more
Speaker 6: about that here in a second. So, Okay, this is
Speaker 6: a map right now of the current cameras. There's current
Speaker 6: We are contracted for ten cameras that we had a
Speaker 6: question on the cost of those cameras, who are three
Speaker 6: thousand dollars each annually.
Speaker 5: We have nine of the ten cameras in.
Speaker 6: And as you can see, these are strategically placed again
Speaker 6: on the perimeter of our city looking inwards. This allows
Speaker 6: our officers to have time to make it to that
Speaker 6: alert for a stolen vehicle or amber or silver alert.
Speaker 6: You know, it gives us moment, you know, a chance
Speaker 6: to get there as well as let's just know about
Speaker 6: criminal elements coming into our community. Currently, we have to
Speaker 6: move a few of these cameras. We were requested to
Speaker 6: do so by the state, so you will see a
Speaker 6: couple of these spots kind of changed to more still
Speaker 6: strategic locations, but not as far out as we originally
Speaker 6: planned for them. So that information we widely share. There's
Speaker 6: no secret about where we have these cameras and where
Speaker 6: they're going to go.
Speaker 5: So this is the network sharing. This is kind of
Speaker 5: a map Voklahoma.
Speaker 13: Here.
Speaker 6: You see that yellow circle up there as Bartizilla, and
Speaker 6: you can see all the green circles represent networks that
Speaker 6: we are sharing with the purple represents networks that we're
Speaker 6: not sharing with. Sharing is kind of a little bit
Speaker 6: of a deep topic on kind of how sharing happens.
Speaker 6: If our sharing preferences matches another agency's sharing preferences, well,
Speaker 6: and we're automatically going to start sharing if we see
Speaker 6: a reason.
Speaker 2: To query a system.
Speaker 4: That excuse me.
Speaker 6: So essentially, if we find that a vehicle or suspect
Speaker 6: may go to a community that we're not sharing with,
Speaker 6: we're able to request share to those communities. And from
Speaker 6: my experience with work on law enforcement, we're here to
Speaker 6: help one another and typically that that access would be granted.
Speaker 6: Therefore the networks would would be shared. So this is
Speaker 6: an example. This is actually my truck here that I ran.
Speaker 6: Christy kind of showed that earlier, so we don't want
Speaker 6: to spend too much time on it. But it's a
Speaker 6: single vehicle, a single image of the rare vehicle as
Speaker 6: it passes.
Speaker 5: Let's say that this case was of interest of some
Speaker 5: sort of crime, which it is not.
Speaker 6: The detective or an officer can download this analytical report here.
Speaker 6: Again everything's documented. Das love this kind of stuff. It,
Speaker 6: you know, it shows the officer that ran in the
Speaker 6: reason it was ran I have community form there. We
Speaker 6: would have a case in the hard and relive and
Speaker 6: just day time, stamp, location and just other information, and
Speaker 6: so that would be added to the case checket if
Speaker 6: it was relevant.
Speaker 4: It wasn't relevant.
Speaker 6: Again thirty days later, it's being deleted. So Transparency Portal again,
Speaker 6: there's a lot of questions that the citizens submitted that
Speaker 6: can be answered here. You know, does this capture faith?
Speaker 2: You know it does not.
Speaker 6: You can see that they're facial recognition or excuse me,
Speaker 6: how many cameras do we have? It shows that AP
Speaker 6: currently shows nine, but we will have ten. Our data
Speaker 6: attention periods thirty days. Here on the bottom right side
Speaker 6: it shows external organizations with access and we're sharing with.
Speaker 5: About one hundred and eleven. So we're gonna go over
Speaker 5: to the.
Speaker 6: Next sock slide here that actually goes to show more
Speaker 6: of those lists of citizens can access this just via
Speaker 6: URL or Google Search or from the city's website and
Speaker 6: be able to see at that moment in time who
Speaker 6: we're sharing with. Another great feature about the Transparency Portal
Speaker 6: is we have this public search audit. You're able to
Speaker 6: download an Excel sheet that is slightly encrypted on the
Speaker 6: searches that we've done in the last thirty days. The
Speaker 6: reason it's encrypted is it really doesn't show that officer
Speaker 6: that random search or the tag number that we search.
Speaker 6: It was an active investigation. That would be kind of
Speaker 6: tipping our hands a little too much there. So we're
Speaker 6: doing as much as we can to kind of meet
Speaker 6: the public and where they're at and with how we're
Speaker 6: utilizing this tool. So that's available at anyone's leisure.
Speaker 10: This is the URL.
Speaker 6: I can leave that up there if anybody likes take
Speaker 6: a picture of that to make sure that they find
Speaker 6: this transparency portal. We're good, all right. So data storage,
Speaker 6: we kind of talked about that. Essentially, you'll hear see
Speaker 6: just compliance.
Speaker 2: He just compliance.
Speaker 6: The FBI, you know, they have the Criminal Justice Information
Speaker 6: Service Division. This is essentially the gurus that are able
Speaker 6: to investigate in everything with ad digital signature. They have
Speaker 6: set out standards for how government shares data back and
Speaker 6: forth and so that's seed just compliant.
Speaker 5: So in law enforcement, we've been sharing data via cloud via.
Speaker 6: Servers for many decades. The two main ones that come
Speaker 6: to mind is olids, which I was able to do
Speaker 6: a little research with the olods. They're based out of
Speaker 6: Oklahoma City.
Speaker 5: It's where their servers are at with more than ten.
Speaker 4: Thousand terminals and access in.
Speaker 9: The state of Oklahoma to OLDS all this.
Speaker 6: Information into your vehicle information drivers lize the status of WARDS.
Speaker 6: All that is you know, being shared via cloud based
Speaker 6: or servers through OLDS. And the next would be n
Speaker 6: CiCe Halloway in Washington, DC's where their servers are at.
Speaker 6: And again our officers are able to access this through
Speaker 6: their vehicles, you know, electronically. So with what FLOCK is
Speaker 6: doing and how we're accessing that information is nothing new
Speaker 6: to us. We currently have several other tools. So we
Speaker 6: have a record management system. This is where we type
Speaker 6: our police reports at you know, has every you know,
Speaker 6: all the people we come in contact with, you know,
Speaker 6: their personal information. All that access via the cloud as well.
Speaker 6: Our body cans with AXON that's via the cloud. So
Speaker 6: this was not hard for us to accept how we
Speaker 6: would be dealing with accessing FLOCKSTAD.
Speaker 5: So local impact we want to talk a little bites.
Speaker 2: Chief along with that.
Speaker 1: Also when it comes to data and the information that
Speaker 1: we gain through personal information information, uh, that information is
Speaker 1: put acting not only by those programs, but it's protected
Speaker 1: by law as well. If an officer misuses that program
Speaker 1: for any reason, he can be arrest and he can
Speaker 1: be charged with the crime, he can go to prison
Speaker 1: and loses his career. We have audits in place where
Speaker 1: we can actually find out what officers abusing the system
Speaker 1: and we can hold them accountable. Uh that those are
Speaker 1: check check boxes that we have in everything we do
Speaker 1: in law enforcement. We always have ways to trace back
Speaker 1: what work we're doing and to know who's doing that
Speaker 1: work and try to make sure that we're doing the
Speaker 1: best job we can and protecting the information the best
Speaker 1: we can. So when people get concerned about where the
Speaker 1: information is stored, this is.
Speaker 7: Kind of like a.
Speaker 2: Different credit culture.
Speaker 1: Instance, if you have a credit card and it gets compromised,
Speaker 1: they can't guarantee it's not gonna be compromised.
Speaker 2: When you get the credit card, what do you do?
Speaker 1: You reported, and then they take action they shut down
Speaker 1: a credit card. You can give you a new credit
Speaker 1: card for where you're knowing you're spending that again too,
Speaker 1: So it's it's what you trust and who you trust
Speaker 1: with your information. I think everybody in this room is
Speaker 1: probably give them their information for a lot of different reasons.
Speaker 1: I can assure you probably when you leave this place tonight,
Speaker 1: Google will tell you about flock more than likely because
Speaker 1: they've been listening to this presentation, right, So just to
Speaker 1: keep that in mind. So we you know, it's been
Speaker 1: said that we'd like to use good stories to prove
Speaker 1: why we need this system.
Speaker 2: Where would be silly not to write why would we.
Speaker 1: Tell you, oh, this is a sucky system when it's
Speaker 1: actually saving lives. So with that, these are a couple
Speaker 1: of murder suspects Bortlesville murder suspects.
Speaker 2: Young man on the left. Young man on the left.
Speaker 1: Killed another subject, his friend actually one of his best friends,
Speaker 1: and day Randa Randa, Kansas. We didn't have block systems
Speaker 1: at this time, but we called our representative that was
Speaker 1: trying to sell.
Speaker 13: Us the system and.
Speaker 2: Asked him if he could put that in the system.
Speaker 1: It's a network and you have to be pulled the
Speaker 1: network to utilize it, so obviously he was trying to
Speaker 1: sell it to us, right, So he put this information
Speaker 1: in the system.
Speaker 2: We had the young man's vehicle information tag.
Speaker 1: Number from the system already, so we input it in
Speaker 1: and the cameras hit Coffeeville, Can, Kansas.
Speaker 2: On a camera system. Kaffin Vill PDA went out and
Speaker 2: looking for this vehicle the by the camera that had hit.
Speaker 1: Of course I didn't find it, but then they re
Speaker 1: so after some investigative leads found out he had a
Speaker 1: relative in Kansas in Coffeeville, went to that residence, found
Speaker 1: a suspect, and we took him into custody. That's how
Speaker 1: it's supposed to work, investigative leads. This is just a
Speaker 1: tool that we're using to further crimes and furtherer cases
Speaker 1: the other centers. The young man murdered another man in
Speaker 1: bartlsool Alhoma, pretty close to the same area.
Speaker 2: A year into Wichita, Kansas. Same thing.
Speaker 1: We put the vehicle description of his into the system
Speaker 1: and it hid in Wichita, Kansas. Got a relative to
Speaker 1: Wichital We located him as the reld of his house,
Speaker 1: took him into custody.
Speaker 2: Those are two homicide suspects from Botswil, Oklahoma. We had
Speaker 2: no idea where they were at, and we would have
Speaker 2: had to spend a lot of time looking for him
Speaker 2: without this system.
Speaker 3: We had.
Speaker 1: The other evidence was evidence of the crime. This just
Speaker 1: tells us where he was the last time. When we're
Speaker 1: trying to find him.
Speaker 2: Right, it's not said. This doesn't prove that he murdered
Speaker 2: the guys. Neither one of these proved that they murdered
Speaker 2: the subjects.
Speaker 1: But it does prove where he's at at a certain
Speaker 1: setting time when he passed that camera. Gives us an idea,
Speaker 1: well where to start looking for him. Major tool, major tool.
Speaker 2: Talk about this. This was just recent December tenth.
Speaker 1: Well, so if you may be able to read that
Speaker 1: un though it's pretty small small print, but on December tenth,
Speaker 1: a man in his stepdaughter, a Mexican immigrant, and the
Speaker 1: step daughter went We're supposed to be going to coffee,
Speaker 1: Old Kansas to purchase meat at the market. Momb called,
Speaker 1: they didn't turn return home. Home called to see where
Speaker 1: they were at. They didn't answer the cell phones. She
Speaker 1: got worried. She called law enforcement. We responded to her call.
Speaker 1: We peened the phones of both of these people. We
Speaker 1: didn't get a pin on them. They PINI is trying
Speaker 1: to locate it. Didn't get a located on which missed.
Speaker 1: Those phones were turned off. Still concerned about it, we
Speaker 1: entered this the next morning. This mom's vehicle was entered
Speaker 1: into the system and it hit in the Laredo Texas.
Speaker 1: What's in the Laratea, Texas people.
Speaker 2: US boarder.
Speaker 1: Sixteen year old child with stepdad. We notify Larta, Texas
Speaker 1: and the Border Patrol. They began looking for this young
Speaker 1: lady and this man. This vehicle was found at the
Speaker 1: bus stop, our bus depot in Larta, Texas. The stepdad
Speaker 1: was trying to sell that vehicle to get money for
Speaker 1: tickets to Mexico. At that point, Laureata Police Department found
Speaker 1: out that this younger lady is sixteen, but when she
Speaker 1: was fifteen, she was right by her stepdad that she
Speaker 1: was with at this time, and she's pregnant with an
Speaker 1: unborn child.
Speaker 5: So a couple of things here and then visits started
Speaker 5: the case.
Speaker 6: You know, that morning at ten thirty nine they did
Speaker 6: the search to flock showed that the vehicle had pass
Speaker 6: cameras in Laredo at ten twelve and at one o
Speaker 6: three pm victim and suspect were located. So it was
Speaker 6: a fast result, fast.
Speaker 1: Result, very fast result. So now you have the child,
Speaker 1: a sixteen year old child and an unborn infant that's
Speaker 1: been saved by this system. A couple of months ago
Speaker 1: with go to the departments, we had a young mom
Speaker 1: bringing three year old child out, put him in the
Speaker 1: back seat of her car, go around and get in
Speaker 1: the car and drive off. And her ex boyfriend came
Speaker 1: out of the bushes and camel gear stole that child
Speaker 1: out of the back seat, jumped in his mom's car.
Speaker 1: Mon was a getaway driver and they took off.
Speaker 2: Less than an hour later. After putting this the mob's vehicle.
Speaker 1: Description in the flock system, the whole bloom Hargway troll
Speaker 1: stopped that vehicle by Claire Moore and recovered that child.
Speaker 1: Success stories. What is the price of the life. What
Speaker 1: is the price of a child? What will you give
Speaker 1: up to save a child?
Speaker 2: My last question on that.
Speaker 1: So I'm very fashionate about that because I believe in
Speaker 1: the system. My commands knife is. I got over one
Speaker 1: hundred and sixty years of service and we spend every
Speaker 1: day trying to serve this community and keep it safe.
Speaker 1: Trust our judgment is what I'm.
Speaker 6: Yeah. So again, we have ten cameras about five hundred
Speaker 6: miles the roadway. The cameras again just capture a moment
Speaker 6: of time. We're the vehicle just investigative tool. It gives
Speaker 6: us a place to start. We actually had kind of
Speaker 6: telling ourselves a little bit. We had a stolen vehicle
Speaker 6: from Kansas City enter our jurisdiction three separate times that
Speaker 6: we weren't able to locate, so you know that again,
Speaker 6: that's just one snapshot of where that vehicle was at
Speaker 6: at one moment of time, so it's not continual, it's
Speaker 6: not tracking, it's just a starting point. So that really
Speaker 6: concludes our presentation. Here are mister White. Let exit out
Speaker 6: of this and it is loaded up for him.
Speaker 8: Thank you for having me here in your nice community.
Speaker 8: Believe it or not, my.
Speaker 15: Really appreciate the help that we've gotten from Martlesville Police
Speaker 15: Department here. And your police station here is top notch,
Speaker 15: so you guys have figured that out. You have a
Speaker 15: really nice station. Your police department is really a high
Speaker 15: caliber of people, so you're really lucky here in this community.
Speaker 16: I'm going to give you a glimpse into a couple
Speaker 16: of homicides, a small glimpse, and you're going to see
Speaker 16: the value in the importance of the technology that exists,
Speaker 16: and I'm not going to get it.
Speaker 8: I did take the liberty.
Speaker 15: I know you told me not to, but I did
Speaker 15: add a little bit just to kind of remind people
Speaker 15: here as to the technology that everybody in this room
Speaker 15: has had.
Speaker 8: Moments in your life where you're like, boy, I don't
Speaker 8: know about that. That technology scares me a little bit.
Speaker 15: But in reality, it's the technology that people have grown
Speaker 15: to become accustomed to called the CSI effect. When you
Speaker 15: guys are like, well, where's that DNA. Well, DNA is
Speaker 15: to scare you, believe it or not, when it first
Speaker 15: came out. I can promise you had scared everybody in
Speaker 15: the world. All technology scares people when it first comes out.
Speaker 15: That's our homicide unit right there, really good looking munch
Speaker 15: all right, all right, So I wanted to give you
Speaker 15: some statistical data just for respect to Tulsa, since we're
Speaker 15: neighbors and we're really close to one another, and that
Speaker 15: since twenty sixteen, we've had five hundred and ninety homicides
Speaker 15: in the city of Tulsa.
Speaker 8: Five hundred and ninety. We've solved five hundred and.
Speaker 15: Sixty one of those, so we have twenty nine cases
Speaker 15: that are actually open, which is extraordinary. That's a ninety
Speaker 15: five plus percent success rate clearance rate with respect to homicides.
Speaker 8: And thank you for the thumbs up. I see that
Speaker 8: I notice it.
Speaker 15: That's one of the best in the I don't know
Speaker 15: if another agency that has that many with that kind
Speaker 15: of a clearance rate. So if you watch us on
Speaker 15: TV a lot, you know why. It's because teamwork makes
Speaker 15: the dream work. And also be because of this camera
Speaker 15: system that they speak of. And that's the examples that.
Speaker 9: I'm going to give you.
Speaker 8: Last year, we solved every one.
Speaker 10: Of the fifty.
Speaker 15: It was wrong in the media. The media was my
Speaker 15: boss was incorrect. That's not the first time we've solved
Speaker 15: one hundred percent of our cases since nineteen seventy nine. Actually,
Speaker 15: in twenty sixteen, we had a record year of homicides
Speaker 15: in the city of Tulsa, more than we have ever had,
Speaker 15: which was eighty two.
Speaker 8: And we solved every one of those. He was wrong,
Speaker 8: so he wasn't with us then.
Speaker 10: I was there.
Speaker 8: Trust me, I'm aged because of it.
Speaker 15: Since nineteen sixty three, we've roughly had actually we've had
Speaker 15: more than twenty seventy eighty one. We've actually had twenty
Speaker 15: eight hundred plus homicides in the city of Tulsa since
Speaker 15: nineteen sixty three, and out of those, we've solved eighty
Speaker 15: seven percent, which also is extraordinary when you consider the
Speaker 15: national average is roughly fifty percent. OK So real quick,
Speaker 15: I wanted to just kind of the evolution of DNA,
Speaker 15: just to give you an idea. This is back when
Speaker 15: it started, and we remember the OJ Simpson case because
Speaker 15: that's the first time that we really got a peak
Speaker 15: at what that's all about. And I work in this business,
Speaker 15: and I'll tell you right now, I'm not an expert
Speaker 15: at DNA. That's for the scientist, but I wanted to
Speaker 15: remind you about those times.
Speaker 8: And DNA has actually advanced to the point now.
Speaker 15: To the level where from nine to eleven actually where
Speaker 15: we're able to identify these victims. And we've gotten to
Speaker 15: the point that if we find somebody's DNA to scene,
Speaker 15: which once again doesn't mean that they've committed.
Speaker 8: The crime, it just means that their DNA was there
Speaker 8: for a reason.
Speaker 15: And because of that, if we can find that, we
Speaker 15: can actually get a picture of what that person looks like.
Speaker 15: That's how far advanced that we've gotten in the world.
Speaker 15: This is the advances that are happening. We should embrace
Speaker 15: that these advances that happen. And then, of course fansy
Speaker 15: genealogy and because of that, we've been able to solve
Speaker 15: cases like the Golden State killer and most recently, the
Speaker 15: Idaho killer and.
Speaker 8: The Long Island serial killer. And that's all that.
Speaker 15: From that, we can look at your pictures on a
Speaker 15: bank robbery and we can tell who you are based
Speaker 15: on that.
Speaker 8: We run it through and it tells us the social
Speaker 8: media databases that you have. This isn't secret stuff. This
Speaker 8: stuff's been out there for a long time.
Speaker 15: Don't if with cats that's on Netflix. That's how that
Speaker 15: they knew who that guy was. There is there the
Speaker 15: most recently, this is the guy that was killed in
Speaker 15: New York City, the guy that worked for the insurance company.
Speaker 15: How do you think they caught that guy?
Speaker 8: They caught that guy from facial recognition.
Speaker 6: How do they catch it?
Speaker 15: Because of surveillance cameras. It's what's going on. They're everywhere,
Speaker 15: this program that they're talking about here. I think what
Speaker 15: makes people nervous is because the cops are purchasing or
Speaker 15: the cities are purchasing these If they were not the
Speaker 15: only ones purchasing them, communities or the neighborhood watch programs
Speaker 15: and neighborhoods are purchasing these cameras. Also that's how they
Speaker 15: were able to track this guy down. All right, So
Speaker 15: let's talk Flock. There's forty two states throughout this country
Speaker 15: that are actually legalizing this technology.
Speaker 8: And this is where I found. I may be wrong, Flock,
Speaker 8: and I'm sorry, but that's what I found on the internet.
Speaker 15: Probably close to five thousand communities and over seven hundred
Speaker 15: thousand crimes each year is solved by this camera system.
Speaker 8: It's amazing.
Speaker 15: It's the best thing that's happened in my career. And
Speaker 15: I've been a cop for twenty six years. I can't
Speaker 15: believe how good this system is.
Speaker 6: This is a go to for us.
Speaker 2: So as far as this is just a.
Speaker 8: Community, and this is in South Bend, Indiana, just to
Speaker 8: kind of show you the numbers there where it helped.
Speaker 8: This is just an old picture.
Speaker 15: We have tank readers. These things have been going on
Speaker 15: forever Indian communities in city of Tulsa. If you have
Speaker 15: a police car that's behind you, they just took a
Speaker 15: picture of your tech. They just took a picture of it.
Speaker 15: But these things have been rolling through your apartment complexes
Speaker 15: in neighborhoods for years. Who's doing that. It's the REPO men.
Speaker 15: So we could call them a say run this tag
Speaker 15: through there. But now police cars are able to do this,
Speaker 15: and we're able to run attack there. I'm going to
Speaker 15: show you an example here real quick. That's an example
Speaker 15: in Oklahoma City, but I'm going to show.
Speaker 8: You a real one. And then in this case, this
Speaker 8: guy was a murderer that I just said, hey, run
Speaker 8: that through there, and we were able to.
Speaker 15: Tell that he was in Oklahoma City, which helps us
Speaker 15: focus our attention down there.
Speaker 8: So here's the first case example. And this is a case.
Speaker 8: These case I've blocked down a couple of things. These
Speaker 8: are both my cases.
Speaker 15: These are cases that he said, Hey, I'm but a
Speaker 15: couple of case examples, so I thought i'd give you some.
Speaker 8: This is how it works, okay, and this is the
Speaker 8: value of these type of the system. Just to give
Speaker 8: you the basics of this.
Speaker 15: Dozens of gunshots fired into an airbnb close to downtown dozens. Okay,
Speaker 15: there's no witnesses, there's no surveillance cameras there, there is
Speaker 15: nothing to work with other than the fact that we've
Speaker 15: got two calimbers, which to us that looks to us
Speaker 15: that we've got at least.
Speaker 8: Two shooters, probably two shooters okay.
Speaker 15: And we got no why witnesses, we've got no vehicle information,
Speaker 15: we've got no surveillance cameras in the area, which is
Speaker 15: you know, it's one of my cases, so I'm used
Speaker 15: to this.
Speaker 8: That happens a lot.
Speaker 15: But in this case, we have zero, not even doorbell
Speaker 15: cameras in the immediate vicinity of where this thing happened.
Speaker 10: Nothing.
Speaker 8: This is the house.
Speaker 15: All of those yellow markers that you see there are
Speaker 15: basically showing where cartridge casings are that we're shot into the.
Speaker 8: Front of this house.
Speaker 15: What's important about that is is that based on the
Speaker 15: location where you see those, that tells me something because
Speaker 15: a lot of these cases, Oh and you can't take.
Speaker 8: Pictures of any of this, please, I'm sorry. I forgot
Speaker 8: to mention that.
Speaker 15: So these yellow markers that you see out here, this
Speaker 15: actually shows you all of the different spots where the
Speaker 15: cartridge casings are.
Speaker 8: Tells me that the person's not in a vehicle when.
Speaker 15: They're shooting, they're out on the foot likely, Plus nobody
Speaker 15: heard anything leave the scene in a hurry.
Speaker 8: There was a twelve year old boy that was seated
Speaker 8: out in front.
Speaker 10: Of this that was murdered.
Speaker 8: Twelve years old okay, and when we not get.
Speaker 15: There, we have really nothing to work with the technology
Speaker 15: that we have here. This is another example of the
Speaker 15: technology just for you to see where your taxpayer lene
Speaker 15: it goes. And this is called a Pharaoh machine, which
Speaker 15: is high tech. And one of these days before in
Speaker 15: the next ten years, I'm almost going to promise you
Speaker 15: that you'll sit on a jury and you'll be able
Speaker 15: to wear virtual reality and goggles and you'll be able
Speaker 15: to walk through the crime scene as if you were there.
Speaker 15: You won't be able to smell things, but you'll be
Speaker 15: able to be as if you're there. And what that
Speaker 15: tells us is that tells us the trajectory of the
Speaker 15: rounds that go into a house. And they can do
Speaker 15: that in fifteen minutes. Look at all the man errors
Speaker 15: that that saves you as the taxpayer. What we found
Speaker 15: when we started going out there and we started doing
Speaker 15: a canvas of the area, because that's what we do.
Speaker 8: We start knocking on doors.
Speaker 15: We started seeing once we were finding doorbell cameras and
Speaker 15: we were starting to find this camera and then a
Speaker 15: camera on a business is.
Speaker 8: We saw two individuals.
Speaker 15: We couldn't tell much about them, but we see two
Speaker 15: individuals walking in the towards where the crime happened.
Speaker 8: And then after this thing happens, then we see them
Speaker 8: running and this is the.
Speaker 17: Track that they took.
Speaker 15: We get down to that area where you see it
Speaker 15: end at seventeenth Street. When we get to seventeenth Street,
Speaker 15: the people that had cameras really nice cameras there.
Speaker 8: This is all we have.
Speaker 10: What kind of car is that?
Speaker 8: Anybody?
Speaker 4: That's right?
Speaker 8: It's a Nissan Ultima and it's in a year range likely,
Speaker 8: But that's all we have. And we were lucky enough to.
Speaker 15: Have a car that happened to pass by that with
Speaker 15: their lights on, which tells us that it's a blue
Speaker 15: color of some sort.
Speaker 8: Okay, we don't we're looking for a blue Ultima. So
Speaker 8: what do we do with that?
Speaker 15: We start looking at the cameras to see if that
Speaker 15: when that vehicle leaves, we start looking for cameras that
Speaker 15: are located throughout that neighborhood to try to.
Speaker 8: Find where it leaves too.
Speaker 15: What we see is it comes out onto Cherry Street,
Speaker 15: which is fifteenth Street, and we can tell it's missing
Speaker 15: likely a front hubcap.
Speaker 8: Okay, So what we can do then is we can search.
Speaker 15: Blue Nissan ultimas in flock, and we find one who
Speaker 15: happened to be up in Awasso, Okay, And based on.
Speaker 8: That, then we run the tag, we find out who
Speaker 8: that is. Then we start doing research on that individual.
Speaker 15: When we do research on that individual, then we have enough.
Speaker 15: Now because this flock system like that, that's just a lead.
Speaker 15: We can't go out and make an arrest on this guy.
Speaker 15: We don't even know who's in that car, but it
Speaker 15: gives us a lead and something to work with. And
Speaker 15: remember we have nothing to work with on this case originally.
Speaker 15: But this is how powerful the system's.
Speaker 2: Making this happen.
Speaker 8: This is making things happen. We can do that.
Speaker 15: When we were able to do that, we were able
Speaker 15: to write a search more on this guy's well no,
Speaker 15: actually we're not there yet.
Speaker 8: So from there, then we run it through our license
Speaker 8: plate reader.
Speaker 2: When we do that, this is what we get.
Speaker 15: We knew we had a police officer that was behind
Speaker 15: his car a stone's throw that basically probably four houses
Speaker 15: away from where.
Speaker 8: The murder happened. And this was two hours before the
Speaker 8: murder happened. Why is he over there because they're scoping
Speaker 8: it out? Is what's up?
Speaker 7: Likely?
Speaker 10: Okay?
Speaker 15: Not only that you see a CBS sign there, and
Speaker 15: that CBS sign that just gave us another spot to
Speaker 15: go look for video because they pulled into that parking
Speaker 15: lot of the CBS pharmacy. They didn't get out of
Speaker 15: the car, but it still gives us a better shot
Speaker 15: of that car characteristics to it. Then from there, like
Speaker 15: I said, the investigative leads that's what we're getting. This
Speaker 15: isn't probable cause to make an arrest. This allows us
Speaker 15: to get search ons maybe to check phone records, and
Speaker 15: that's what we're doing in this particular case. This is
Speaker 15: just basically a little piece of the puzzle. This is
Speaker 15: what we're talking about, a piece of the puzzle. And
Speaker 15: not only that they mentioned this, this is another big deal.
Speaker 15: Not only does this prove people's guilt later on down
Speaker 15: the line, it actually is exculpatory evidence, which means in translation,
Speaker 15: it also tells it actually exonerates people. It proves people's
Speaker 15: innocent innocence just as much as it proves people's guilt.
Speaker 15: That's paramount in these type of cases, because trust me,
Speaker 15: things aren't always what they appear.
Speaker 8: And I've seen people it's like, man, this guy's had
Speaker 8: to have done this or something.
Speaker 17: We're all.
Speaker 8: You're right, we are. Yeah, we're going to sit until
Speaker 8: proven guilty.
Speaker 6: You're correct.
Speaker 8: That's why we want. We want to actually prove people's
Speaker 8: innocence as well.
Speaker 4: Hey, we're the cops.
Speaker 15: Just don't think that we're out just to arrest people.
Speaker 15: We're out to find the truth. In addition to that,
Speaker 15: we still have it. So, like I said, we still
Speaker 15: have a duty to cooperate, and I saw that in
Speaker 15: a presentation earlier, and that is based on maybe DNA fingerprints,
Speaker 15: phone evidence, et cetera.
Speaker 6: But let's go further.
Speaker 8: So then what we're able to do is we were
Speaker 8: able to do some phone data based on this case
Speaker 8: of the guy that owned the car.
Speaker 15: We're able to get a search more for that. We
Speaker 15: get the data back and then basically, what does that
Speaker 15: tell us. It doesn't tell us that he's in the car,
Speaker 15: but it tells us that his phone is in the
Speaker 15: front seat of that car sitting on seventeenth Street that
Speaker 15: you saw that Nissan Ultimate sitting there. His phone's there.
Speaker 15: That gives us more to work with. Then we're able
Speaker 15: to do with that phone data is we're able to
Speaker 15: look even further. And when we look even further, what.
Speaker 2: Are we like?
Speaker 15: We love quick trips in Tulsa. We love them, and
Speaker 15: you love them here too, because they're great. But they
Speaker 15: also have great video, and we're able to see what
Speaker 15: quick trips are in the area. And sure enough, there's
Speaker 15: the guy that has that phone standing in a quick
Speaker 15: trip based on the phone records from the same phone
Speaker 15: number thirty eight minutes before this murder. Now I know
Speaker 15: there's three people involved. I've told you too, But let
Speaker 15: me tell you why I know there's three. We've got
Speaker 15: two people that we're firing based on the amount of.
Speaker 8: I've never seen it. In all the years that I've
Speaker 8: been doing this, I've never seen this shooting. I just
Speaker 8: don't see that.
Speaker 15: But so we've got probably two shooters. And the reason
Speaker 15: why I know there's three people is because while the
Speaker 15: other two guys are coming back to the car, because
Speaker 15: we see a little reflection of him, because the guy
Speaker 15: that's sitting in the driver's seat hit the brakes about
Speaker 15: a minute before they arrive. So now I know there's
Speaker 15: at least three. Well happen happens. We have three people here,
Speaker 15: and when you look here, we're able to identify him.
Speaker 15: We also find additional stuff on that shows them wearing
Speaker 15: the same things, or one of them anyway, as you
Speaker 15: can see there. All of this stuff takes some mountain
Speaker 15: of time to even do this, but this has given
Speaker 15: us more than what we had at the beginning. We
Speaker 15: had nothing, and then we're able to track back that
Speaker 15: phone down and find other locations and matching.
Speaker 8: Up where these guys lived and where who these guys are.
Speaker 15: That's all going to add to the big pile of
Speaker 15: evidence that the the DA here wants later on. And
Speaker 15: that's what we had off of the video that's in
Speaker 15: the neighborhood. You see how good that is. Isn't that great?
Speaker 15: You can't tell nothing from that, But because we had
Speaker 15: the quick trip video, we know who we need to
Speaker 15: start looking at. And when we did look at those guys,
Speaker 15: guess what, those two guys happened to turn their phones
Speaker 15: off about the same time in the timeframe and when
Speaker 15: the murder happened. That's circumstantial. That's telling part of the
Speaker 15: app that's telling part of the story because these guys
Speaker 15: always have their phones on all the time other than
Speaker 15: this period of time.
Speaker 6: Okay.
Speaker 8: In addition to that, we were able to do some.
Speaker 15: Other high tech stuff, which by the way, we're the
Speaker 15: only city in Oklahoma that has this ability. We're able
Speaker 15: to do high tech DNA testing on cartridge casings to
Speaker 15: where we might be able to get DNA.
Speaker 8: Furthermore, I'll just mention this real quick.
Speaker 15: We're going to going to be the only city in
Speaker 15: the state of Oklahoma to have an MVAC, which is
Speaker 15: another high tech DNA testing device, which is it's game
Speaker 15: changing for gold cases. Now this is the second one
Speaker 15: I'm gonna tell you real quick. And by the way,
Speaker 15: off of that, what I was able to do is
Speaker 15: I was able to get that driver that I know
Speaker 15: who he is. He goes, I didn't do anything. I
Speaker 15: don't know what's up. My car was stolen. Wait a second,
Speaker 15: if my phone was stolen, No, wasn't because you're on
Speaker 15: video beforehand. Okay, I'll just take you everything and then
Speaker 15: the next guy. Okay, wait a second.
Speaker 2: Wait, I was asleep.
Speaker 10: I was in the car.
Speaker 8: Wait hey, I was out of the neighborhood when I
Speaker 8: heard shots.
Speaker 15: Later, well that's why you got me away on a minute,
Speaker 15: let me change that story.
Speaker 8: You know these guys are responsible.
Speaker 15: Okay, So this is this is nothing to Now we
Speaker 15: have a lot furthermore of the second case. I'm going
Speaker 15: to tell you this is another one of my cases
Speaker 15: that happened relatively recently on I two forty four close
Speaker 15: to downtown. This is a car that and I hope
Speaker 15: you guys are interested in this because this is fascinating
Speaker 15: stuff for me. So basic facts of this. We got
Speaker 15: a vehicle traveling on the Interstate. It gets onto the
Speaker 15: Interstate right before this thing gets lit up with bullets.
Speaker 15: Seven people in this vehicle and this car.
Speaker 8: Gets shot up.
Speaker 15: I couldn't even I don't even remember how many times,
Speaker 15: but how only two people in this car got shot
Speaker 15: is amazing to me.
Speaker 8: Only two people.
Speaker 15: Got shot because this thing is real with bullets that
Speaker 15: you'll see in a moment. One of them was one
Speaker 15: of them was sixteen years old.
Speaker 8: He ended up dying.
Speaker 15: Okay, his girlfriend got shot and she survived. And all
Speaker 15: they could tell us was that it was a white
Speaker 15: issue B. That's it, white ISSUEV on the Interstate of
Speaker 15: all places. I mean, they made a lot of those.
Speaker 15: So that's all we have to work with.
Speaker 8: Else that's it. Well, we got to figure it out.
Speaker 8: But with nothing that's really tough to do.
Speaker 15: So that's this is how we're gonna figure it out,
Speaker 15: because we're gonna figure out together, and you're gonna see
Speaker 15: the value of this technology. There's no witnesses, there's no
Speaker 15: surveillance video along the stretch of highway.
Speaker 8: And that captures anything.
Speaker 15: Nothing, And the vehicle, the occupants of the vehicle, they
Speaker 15: didn't see the shooter or just think about it for
Speaker 15: a minute.
Speaker 8: If you're driving down the interstate, are you gonna be
Speaker 8: just staring down this vehicle that's shooting bullets.
Speaker 6: Into your car?
Speaker 8: Heck no, you're gonna be looking at You're gonna cover yourself.
Speaker 8: And that's what was going on.
Speaker 15: So they couldn't identify it betting inside of this car.
Speaker 15: Part of the reason is just f why part of
Speaker 15: the reason why they couldn't identify a betting it in
Speaker 15: that car even if they did see it as a
Speaker 15: couple of them or from here up here, you.
Speaker 8: Know they're not from down our way there. And this
Speaker 8: part of the stake was this why that the Tulsa
Speaker 8: state for Yes, okay, So.
Speaker 15: Then as you see here here's the call on the interstate.
Speaker 15: There's all the bullets on the driver's side of the
Speaker 15: car and on the rear of the car. All of
Speaker 15: those bullets are focused in those areas. Okay, remember there's
Speaker 15: seven people in this car when this thing's happening. Lots
Speaker 15: of bullets going through this vehicle. So what we do
Speaker 15: is we run the vehicle, the victim vehicle. Okay, the victim,
Speaker 15: We run their car through flock and we get some
Speaker 15: hits on that off of flock. Actually, we didn't even
Speaker 15: get this case in homicide for probably two and a
Speaker 15: half three weeks. I ended up getting it and I
Speaker 15: was like, oh my gosh, I'm so far behind the
Speaker 15: eight ball here, and they're like, well, we did run
Speaker 15: it through flock. We just don't know if it means anything.
Speaker 15: So when we kind of look at this and as
Speaker 15: we see this, here's the victim vehicle, and then there's
Speaker 15: another car that's directly behind it in another view at
Speaker 15: admirlin Harbord. Okay, now this is close to where they
Speaker 15: get on the interstate actually, and then there you go,
Speaker 15: there's a white ash that happens to be behind it. Now,
Speaker 15: now listen, I can't tell you for certain that that's
Speaker 15: the car that they said white shuv. It could be coincidence.
Speaker 15: But yet we find that car and we continue to
Speaker 15: find that car and watch video of that car following them,
Speaker 15: and then we watch and we see the video in
Speaker 15: quick trips. We do all the quick trips, We check
Speaker 15: all the cameras we can find, and we see this
Speaker 15: car traveling through a quick trip and we can see
Speaker 15: that mark that's along the side.
Speaker 8: It's kind of you can't tell it really there. It's
Speaker 8: a little easier on the real video, but.
Speaker 15: Basically that's a line that goes across there, that's like
Speaker 15: a scratch or a mark. Then what we're able to
Speaker 15: do is we're able to attract down that car from
Speaker 15: license plate readers because they're freaking everywhere and I'm not
Speaker 15: just talking flock, We're talking other businesses and everything, and
Speaker 15: we're able to see that they were at a quick trip.
Speaker 15: We look at that, we see daytime photos, and then
Speaker 15: we're able to see somebody that's associated with that vehicle
Speaker 15: on the same data to the murder.
Speaker 2: Then we're able to.
Speaker 8: Figure out who he is and then go from there.
Speaker 15: We do phone data from that and we start seeing
Speaker 15: that his phone was in the area at the time
Speaker 15: of that. This is basically what you're gonna see here
Speaker 15: is you're gonna see the victim vehicle.
Speaker 18: Coming up to the to the intersection there. Victim vehicle's
Speaker 18: gonna be here.
Speaker 19: He makes a turn here in a second, well, I
Speaker 19: don't want to wait too long, but basically, the victim
Speaker 19: vehicle's gonna turn there.
Speaker 8: The suspect vehicle is gonna come from behind.
Speaker 15: When that happens, the suspect vehicle doesn't immediately follow them
Speaker 15: because the other car goes strim or makes a turn.
Speaker 15: So that guy he basically rips into the quid Trick
Speaker 15: parking lot and drives through it at a higher rate
Speaker 15: of speed than normal. And then from there basically we
Speaker 15: see that car. Now that it doesn't show us who's
Speaker 15: in that car, we're not able to see that there either.
Speaker 15: We would love to, but we can't. This is not
Speaker 15: even flocked. This is surveillance video.
Speaker 8: But then from we can.
Speaker 15: See that's the victim, that's the suspect vehicle. We see
Speaker 15: that going past Equipper there actually where this is. This
Speaker 15: is after Admiral and Harvard. And then we have another
Speaker 15: camera that shows victim vehicle and that white SUV traveling
Speaker 15: right behind them on I two forty.
Speaker 8: Four, literally right there. That's huge for us. This is
Speaker 8: a case where we have zero nothing.
Speaker 15: This is never getting solved without this kind of technology
Speaker 15: that exists out there. It's never gonna get solved unless
Speaker 15: people are talking. And even if they are talking, that's
Speaker 15: just word on the streets.
Speaker 8: We can't do much with that.
Speaker 15: So the final thoughts that I'm gonna tell you because
Speaker 15: I know I want to, we want to have you
Speaker 15: have questions if.
Speaker 8: You want to know some more what we deal with
Speaker 8: these pieces of the puzzle. Listen, I can tell you
Speaker 8: right now.
Speaker 15: I can stand up here all day long and I
Speaker 15: hear your concern I could see where you're thinking, oh
Speaker 15: my gosh, the government's installing cameras all over to monitor
Speaker 15: where every move.
Speaker 8: That's not what this is about. I can assure you
Speaker 8: that it's not. This is to solve crimes.
Speaker 10: That's it.
Speaker 15: We don't have time to be sitting there, sitting there
Speaker 15: looking at photos of cars all day long.
Speaker 6: We just don't.
Speaker 5: We'll have questions here at the end.
Speaker 8: So I just wanted to remind you about the evolution
Speaker 8: of technology.
Speaker 15: Okay, literally, and this is in some of your lifetimes,
Speaker 15: of the phone technology from a regular phone to the
Speaker 15: cell phone technology of today, which by the way, cell
Speaker 15: phones so today are like more powerful than the computers
Speaker 15: that got us to the moon.
Speaker 8: Okay, that's how it is.
Speaker 15: And with respect to law enforcement, honestly, you know, if
Speaker 15: you think about it, from their video recording and so
Speaker 15: forth to now where we're in body caps, I mean,
Speaker 15: it's it's a huge tool for us. It exonerates people there,
Speaker 15: It exonerates cops. It gets cops convicted of things if
Speaker 15: they do wrongdoing. It's good for everybody. I've never worn
Speaker 15: a camera because I'm too old. I've been inside a
Speaker 15: long time. But these guys that work the street, they
Speaker 15: wear them all the time. That's a good technology.
Speaker 10: And now we have.
Speaker 15: Rooms filled with computers in real time crime data.
Speaker 8: Operators that exist out there that are there for you.
Speaker 8: And that's what it's about. That's how we're able to
Speaker 8: solve fifty of these murders. I mean, that's what we want, right.
Speaker 8: We want to solve your burglaries.
Speaker 15: We want to find out who robbed you, and that's
Speaker 15: what we're interested in doing.
Speaker 8: And this is the technology that exists.
Speaker 15: So I appreciate your time and your attentiveness. I think
Speaker 15: that it's awesome that this many people are here at this.
Speaker 18: Community meeting, and I don't blame you for having questions.
Speaker 8: That's what you should do. That's my information.
Speaker 15: If you can take a picture of that, if you
Speaker 15: did have questions and I could possibly answer it. Half
Speaker 15: the city of Tulsa has my phone number.
Speaker 17: So I'm not worried about it anyway.
Speaker 8: Thank you very much, thank you, thank you.
Speaker 5: So now we're going to have all open it up
Speaker 5: for questions. I did want to remind everyone that we
Speaker 5: need to remain respectful.
Speaker 6: This is not going to be a debate. We will
Speaker 6: do our best to answer your questions between this panel
Speaker 6: of experts here, So just please remain professional and we
Speaker 6: can go from there.
Speaker 2: Wch Dom.
Speaker 5: So essentially on top of my w Chief Nil up there,
Speaker 5: we have a microphone.
Speaker 6: If we have any questions, we can go up there
Speaker 6: and you will maintain that.
Speaker 1: Any questions, Okay, if you are you where you can
Speaker 1: walk up the steps there or Troy, can you bring
Speaker 1: it down.
Speaker 12: Possibly concerned certain redundancies.
Speaker 7: Pertaining to the juice statute that District Attorney Drake mentioned
Speaker 7: with police units and other cameras that we're seeing in
Speaker 7: these images, there's a certain amount of redundancy that I'm
Speaker 7: seeing with flock that in my mind, I don't see
Speaker 7: justifying thirty thousand dollars per camera. And secondarily, I'm curious
Speaker 7: how many of these systems have been revoked, as one
Speaker 7: that I know about near Wichita than can So.
Speaker 6: Is three thousand per camera. So our total project is
Speaker 6: thirty thousand dollars per ten cameras.
Speaker 4: Also well that you VET cameras can only be used
Speaker 4: for the uv appropriated SEBI across the statewide. So the
Speaker 4: idea is that every district is twenty seven district attorneys,
Speaker 4: and the ideas in every district gets eight one camera.
Speaker 4: Obviously there's for people in Tulsa City and the nor
Speaker 4: Moon there's still waters that there's more cameras there, So
Speaker 4: those serviated kind of out of the mix for any
Speaker 4: of this. They're gonna be used for that UVET in
Speaker 4: church program. As far as just ten, I can't really
Speaker 4: speak to ten. I will speak ten cameras in barbles Hill.
Speaker 4: Bartles Hill is only you know, fifty thousand people, but
Speaker 4: geographically it's a huge city, and I don't think ten
Speaker 4: cameras is near enough. I understand three thousand dollars it
Speaker 4: sounds like a lot, but also we've got to figure
Speaker 4: out how much we use them. I mean, we're if
Speaker 4: you're not using them okay, also means like crimes down,
Speaker 4: we're doing awesome, right, But if it just depends on
Speaker 4: how much we're using them for, and I probably be
Speaker 4: moved around once it get some expertise and experience with it.
Speaker 4: What are some high traffic areas? What's you know, different areas?
Speaker 4: So I lookt they can probably speak to that more.
Speaker 4: But frankly, the biggest bartles is geographically, and I don't
Speaker 4: know if ten cameras is really enough because of how the.
Speaker 5: Hearts of the town is.
Speaker 2: A solid question right over here.
Speaker 6: They ca them work for it's gonna be We had
Speaker 6: the idea that questions up at the top, but it
Speaker 6: looks like we'll just maybe run this nice select day.
Speaker 6: He'll be fine.
Speaker 5: We'll stay fluid with it. My question is for mister Drake.
Speaker 3: You mentioned in your presentation that there was no expectation
Speaker 3: of privacy and aerial surveillance. Yet, if I remember right,
Speaker 3: twenty twenty two, the Fourth Circuit ruled against the City
Speaker 3: of Baltimore for their area forty five day surveillance program,
Speaker 3: which seems to be in contrast for what you said.
Speaker 3: And the second point I was wondering about is that
Speaker 3: in the Carpenter case that the Supreme Court ruled on
Speaker 3: in twenty eighteen, which was the basis I think for
Speaker 3: the Fourth Circuit's decision in the Baltimore case, and they said,
Speaker 3: a majority of the Court has already recognized that individuals
Speaker 3: have a reasonable expectation of privacy in the.
Speaker 10: Whole of their physical movements.
Speaker 3: And in your presentation there was truly enough no discussion
Speaker 3: about physical movement.
Speaker 8: It was all place.
Speaker 3: But yet the Supreme Court seems to have moved when
Speaker 3: the direction that a system that totally encompasses and enables
Speaker 3: are every citizen's movements to be followed is a violation
Speaker 3: of the Fourth amm and would be a search under
Speaker 3: the Fourth Amendment and what therefore require a warrant based
Speaker 3: on probable cause.
Speaker 10: So I just wondered if.
Speaker 4: In yeah, if you're let's say the government was following
Speaker 4: you every minute day for a long period of time,
Speaker 4: that would be what they're talking about, the movement thing,
Speaker 4: you're constantly under surveillance, about a warrant that's you know,
Speaker 4: that's what we're talking about in those cases. As far
Speaker 4: as these licensed plate readers, they are on fixed locations.
Speaker 4: It's a picture of the lack of your vehicle. You're
Speaker 4: not under constant surveillance. There's a case out of there
Speaker 4: a education in Texas where the DDA put up a
Speaker 4: pole camera for nine months outside of drug a suspected
Speaker 4: drug dealer's house. There's a case that sad that is
Speaker 4: gonna be a problem because nine months of complete surveillance
Speaker 4: of this person's every movement for nine months about a
Speaker 4: warrant was problematic, which I think we all can see
Speaker 4: ten cameras across the city of Bartlesville and then one
Speaker 4: individual locations is nowhere near complete the total surveillance, right,
Speaker 4: the big perfect sense.
Speaker 10: I'm failure pro catch it all a little. I love it.
Speaker 10: But also the rod bus uh following of amendment. So
Speaker 10: the question what comes down to is when w.
Speaker 17: Be passed the lawn that has the city considerably all
Speaker 17: about that?
Speaker 10: You don't the does the fourth Amendment may actually apply
Speaker 10: at some point? What is that point?
Speaker 3: And how we've been rest not costly you got a
Speaker 3: WAM whatever that point they would you it's an able
Speaker 3: to flying line on you.
Speaker 10: I would be a great more rules on them more.
Speaker 4: Pa Oh, I I agree, and as we all know,
Speaker 4: the law moves slower than real life does cause and
Speaker 4: for a good reason. I think that you want to
Speaker 4: you don't want the course being reactive. I think you
Speaker 4: want the course to be well thought out. I think
Speaker 4: what their decisions are gonna be. So but I get
Speaker 4: what you're saying, but we're we're way off from complete
Speaker 4: surveillance of ten I mean, I don't relign that, but
Speaker 4: the line is not ten cameras across the entire state.
Speaker 4: Tulsa got two hundred. It isn't cross that line yet.
Speaker 4: Here's what I think about this too. I mean, I've
Speaker 4: got lots of producing in this area, but I have
Speaker 4: a feeling in Tulsa County is the ties they can
Speaker 4: be in Tulsa County. If those homicide suspects that attorney's
Speaker 4: not this, they be moving to suppress all that evidence.
Speaker 4: And so far we haven't seen any of that. So
Speaker 4: that's a good indicator to me that is across the
Speaker 4: line of Tulsa, and Tulsa is way worse surveiled than
Speaker 4: Bartlesville is with our nine hopefully ten cameras soon.
Speaker 1: I also want to point out that what you're talking
Speaker 1: about is somebody sees you when they're following you.
Speaker 2: This is a car tag.
Speaker 8: This is not a person.
Speaker 7: This is a.
Speaker 2: Piece of fine.
Speaker 1: This is not so it's not a person of itself,
Speaker 1: and we can't improve it by from these cameras that
Speaker 1: you're driving that card. Somebody else would be driving your card.
Speaker 1: While it does give us some place to start looking,
Speaker 1: it's evidence. We have to develop evidence. We have tools
Speaker 1: against that question right up here.
Speaker 2: Then a question, Yeah, not except mister lockeow.
Speaker 17: But my question is in terms of the technology, there
Speaker 17: is going to get an air rate.
Speaker 20: It is not zero urangy at of recognition will never
Speaker 20: be zero. So what do you do when you have
Speaker 20: got a license plate that's been mis rent and then
Speaker 20: you go, let's just say it's a h run. You
Speaker 20: got the license plate and miss red.
Speaker 17: Now you got the wrong car.
Speaker 8: What happens?
Speaker 6: So our policy, as the actually outlines that exact situation.
Speaker 6: Her policy, our officer has to visually inspect that tag
Speaker 6: and can run that tag themselves through all it's before
Speaker 6: initiating the traffic stocks.
Speaker 5: So it was essentially we're safeguarden from that.
Speaker 8: But the cases has reported in the news.
Speaker 17: It's been told our license plate rears at a seven.
Speaker 4: Is a lot.
Speaker 6: Sure, but the policy.
Speaker 2: But then they looks at a.
Speaker 17: Point, but they dash, says his computer says a blot.
Speaker 10: But he paid to.
Speaker 20: Make that relationship. No, would solve it all times because
Speaker 20: it's a blony encounter.
Speaker 5: Saw now what But again, we will rely on policy.
Speaker 6: The policy, says answer. He needs to confirm that he
Speaker 6: needs to be able to visually expect it and run
Speaker 6: through this system. Is not always, sir again, asked answer,
Speaker 6: This is not a debate. This we have policy that
Speaker 6: outlines that and if he fails to especial fails to
Speaker 6: deal with that, then he'll be dealt with or follow
Speaker 6: the policy properly'll be dealt with.
Speaker 4: Next question up here, mister Locke.
Speaker 8: Again, we got a question up here.
Speaker 10: We gotta keep this early.
Speaker 21: And I'm Josh Locke, I've been involved in hopefully might
Speaker 21: have them interview here to hear this tonight. I work
Speaker 21: in the space, I've spoken, I've spoken to a number
Speaker 21: of view at the police department and let me just
Speaker 21: couch everything I'm going.
Speaker 4: To say with.
Speaker 21: I have no issue with any of you in the
Speaker 21: police department with the district attorney with anyone who uses
Speaker 21: this at at the end to point of the technology.
Speaker 2: I work in the data space.
Speaker 21: I know intimately the architecture of these systems, how the
Speaker 21: data is captured, how it's co located. My job is
Speaker 21: to take data that is captured for purposes outside of
Speaker 21: what the data is originally intended to be used for
Speaker 21: and draw conclusions from it. So understand all of my
Speaker 21: comments in that context that I work in this space
Speaker 21: and I know exactly how it can be abused. So
Speaker 21: my first question is about the architecture because it's the
Speaker 21: primary aspect of my opposite. My complete opposition is, to
Speaker 21: make no mistake, my complete and total opposition to this
Speaker 21: technology existing in any function in any amount of cameras.
Speaker 21: But a lot of what's been explained to us is
Speaker 21: these are ALPR cameras. There it's a focus on license
Speaker 21: plate reading.
Speaker 12: It's a focus on capturing this.
Speaker 21: Unique information about the vehicles for this architecture to work.
Speaker 10: And those of you from Flowed.
Speaker 21: Can correct me if I'm wrong, but I'm based on
Speaker 21: how I can see how this works. Every single time
Speaker 21: this infrastructure detects movement, it triggers image capshuit.
Speaker 6: At the device at.
Speaker 10: The endpoint, can you confirm that.
Speaker 11: So the way that the blow de license plate readers
Speaker 11: work is a motion detection. So they are facing the
Speaker 11: public right of way the road. If there's a vehicle
Speaker 11: that passes by and may is taken of that vehicle
Speaker 11: at that point, the machine learning.
Speaker 9: Catalogs what it saw, right, Is it a Honda?
Speaker 6: Is it read is there a bike rack, et cetera?
Speaker 9: And what the alpha numeric you know, digits of the
Speaker 9: lighters we are.
Speaker 11: And I think the spirit of the question is though,
Speaker 11: if it's motion detecting, is it capturing anything that's on
Speaker 11: the road that's moving. It is capturing whatever is on
Speaker 11: the road that's in front of it. But now, what
Speaker 11: is searchable by law enforcement?
Speaker 8: I've heard everything I need to hear.
Speaker 2: You've told me everything. Need to thank you.
Speaker 11: Okay, Now, so here's why I called me finish for
Speaker 11: the benefit of the of the entire community. The your
Speaker 11: police department has filters that they first they will have
Speaker 11: to enter in a casewere, so they're looking for.
Speaker 9: A vehicle a case that's associated with the vehicle.
Speaker 11: They then are able to search for that vehicle and
Speaker 11: filters only there's no people filters.
Speaker 10: At the software layer.
Speaker 21: At the software layer, that's a control of the software layer,
Speaker 21: not at.
Speaker 6: The database layer.
Speaker 2: No, this is important for.
Speaker 21: People to understand sir. Yes, I'm being respectful, so.
Speaker 9: So yeah, so, And if you have another question, I'm happy.
Speaker 12: To absolutely so.
Speaker 21: The reason I asked that is for this technology work,
Speaker 21: the raw data is captured at the moment motion is detected.
Speaker 8: The AI and the algorithms all occur on the back end.
Speaker 2: They occur.
Speaker 21: They occur after all data is co located and stored
Speaker 21: centrally in the in the Amazon Web Services system that
Speaker 21: you explain to us.
Speaker 4: So what this means is that.
Speaker 21: Everything is being promised to you, just so that everyone
Speaker 21: understands clearly, all these promises, everything has told you about
Speaker 21: the system. All of these promises exist on the software
Speaker 21: layer of this system. They don't exist at the endpoint,
Speaker 21: so the actual device is city in your neighborhood. None
Speaker 21: of these controls reside at the endpoint, in at the
Speaker 21: device in the neighborhood. They all reside at the software layer,
Speaker 21: which is where which which, by the way, for anyone
Speaker 21: who works in software, you know how easy software can
Speaker 21: be changed. No, I'm not getting off sir, this is
Speaker 21: important for people to understand. Sir, this is very important.
Speaker 5: This is information that you're speaking about that you were
Speaker 5: not represented.
Speaker 21: Okay, you have the Flock experts here, so I'm saying
Speaker 21: with making correct anything, I'm.
Speaker 8: Saying, I'm an expert in this field. I know what
Speaker 8: I'm talking about.
Speaker 6: I'm not a technology Okay, we've contracted with Flock and
Speaker 6: we're we're sharing how we're importating. It has the purpose
Speaker 6: of this one.
Speaker 10: We're happy.
Speaker 4: It's not on your opinion of what's happening.
Speaker 2: I'm not I'm not sharing my opinion.
Speaker 21: I asked this very specific question about the architecture.
Speaker 8: I'm asking about the architecture.
Speaker 17: This is us question you have.
Speaker 6: So questions.
Speaker 21: Are the controls you promise us on the software layer, or.
Speaker 13: On the on the database layer, or are they on
Speaker 13: the end point?
Speaker 2: I can assure he is with Barswell Police Department in
Speaker 2: the City of.
Speaker 1: Barlsville will control our people and our equipment to the
Speaker 1: best of our ability.
Speaker 2: We will enforce the laws.
Speaker 1: Concerned about you, I'm concerned about the software layer. Apparently
Speaker 1: you're concerned about the breach of this software. There's not
Speaker 1: If there's our bus in this room have their healthcare
Speaker 1: information breached in the last thirty days were getting on
Speaker 1: and they weren't for the last and play readers and
Speaker 1: you have up. This is a public medium, so.
Speaker 8: Fou preps please answer the questions about the database layer.
Speaker 8: I think that's I think that's.
Speaker 10: The mad reguard of the system and that did the
Speaker 10: question worked the answer they might be an.
Speaker 11: What I can say is I I think there was
Speaker 11: a valid concerns. Honestly, what what I what I can
Speaker 11: say is we are happy to address any specific questions.
Speaker 11: I there was a a lot of different information that
Speaker 11: was being shared if and there was some questions there.
Speaker 11: If you feel free through the police department, we will
Speaker 11: have our engineers answer any questions that you were a residents.
Speaker 9: And we I it just for the benefit of the publics.
Speaker 9: We will share it with or ever when I just
Speaker 9: don't know exactly what.
Speaker 8: If you don't quite.
Speaker 22: I have a concern about the agri aggregate data and
Speaker 22: you will end up being able to get it too.
Speaker 22: If the FBI came to you and ask you if
Speaker 22: they could have data on a suspect, would you call
Speaker 22: for that them? Would you give them the data? So
Speaker 22: that's a great question.
Speaker 9: There's two parts to it.
Speaker 11: There's a flock porship and there's a portion from your
Speaker 11: police department. From the flat side, all the data is
Speaker 11: owned by Bartosville PD, right, So we do not own
Speaker 11: or share that data or have the ability to do that.
Speaker 11: If the FBI were to request data from Flock, our
Speaker 11: response to them is that we are not the owner.
Speaker 11: We would direct them to your police department. At that point,
Speaker 11: I can't speak au of your city attorney, et cetera.
Speaker 11: But your popular department with follows their policy on sharing uh.
Speaker 9: And then that would be uh, you know, decided at
Speaker 9: your city level.
Speaker 2: So would you share the data with the FBI? And absolutely?
Speaker 7: Oh.
Speaker 1: The data we're sharing with them is a lotus plate.
Speaker 5: That's it.
Speaker 1: They have access to run that license plate and getting
Speaker 1: all the information off that license plate. We are here
Speaker 1: to help other law enforcement agencies. It doesn't matter what
Speaker 1: usuals they use. If there are a law enforcement agency
Speaker 1: and the law enforcement partner and we're trying to solve
Speaker 1: crimes together, we're gonna share that information with them if
Speaker 1: they asked for it. That's the bottom line. We ask
Speaker 1: them for a lot of things, so they're gonna ask
Speaker 1: us for a lot of things. Are we giving them
Speaker 1: any data? We're giving them a license plate. That's all
Speaker 1: we're giving.
Speaker 22: My concern is the aggregate data that the FBI, for instance,
Speaker 22: could collect.
Speaker 12: And for instance J six.
Speaker 4: Do you do you believe that there is an.
Speaker 2: Insurrection by the hublics.
Speaker 10: I'm not gonna be family.
Speaker 22: This is very yourmane Okay, this is very very Tomine
Speaker 22: believe that J six people that walk into the Capital
Speaker 22: Building were insurrectionists?
Speaker 2: Sir, I wasn't there. I don't have the information to insperation.
Speaker 13: You don't.
Speaker 1: You don't know why TV it'll get there's a lot
Speaker 1: of misinformation, so that's we're getting tracking.
Speaker 23: Okay, let's let me let me leave my thought. I
Speaker 23: do not trust that the FBI corral the right people.
Speaker 23: I think the people that walked in and got.
Speaker 10: Arrested were.
Speaker 9: Regular citizens and they were.
Speaker 4: Put up with it with the UH the contacts that
Speaker 4: the FBI had. The The reason why I.
Speaker 24: Bring this up is if you've shared this with the FBI,
Speaker 24: they could use this to bring in Grandma because they
Speaker 24: have to be at the.
Speaker 4: Capitol Building for instance. That's exactly what happened.
Speaker 2: Let me read a no, no, this is not a debate,
Speaker 2: or this is not a debate, this is not a lecture.
Speaker 2: This is the answer question.
Speaker 1: I just want to read founders or He'll try to
Speaker 1: answer your question a little bit further right here.
Speaker 24: Those who would give up essential liberty to purchase a
Speaker 24: little temporary safety?
Speaker 17: Is there maybe good any nor safety? That was thank
Speaker 17: you what I'm saying.
Speaker 13: This guy, I think I was first.
Speaker 25: Sorry, ladies, First, I'm not gonna ask anything about privacy.
Speaker 5: So nobody has to kick anybody out.
Speaker 25: Mister Drake mentioned once, and I think somebody else had mentioned,
Speaker 25: and then a city councilor is also mentioned the same
Speaker 25: topic about the concerns of a kid kidnapped child. This
Speaker 25: is I have two questions, so nobody takes a mic
Speaker 25: from me.
Speaker 13: First, this is BTD question. Is there a rise on
Speaker 13: child abduction crimes of Barbersville? Okay?
Speaker 25: So second question, is there an ongoing uprise of children
Speaker 25: being abducted from school grounds?
Speaker 4: Okay?
Speaker 25: So can we remove that question from the scenario we're
Speaker 25: concerned for the plot camera usage?
Speaker 4: My question absolutely not Okay, I mean, so are we
Speaker 4: facing off of assumption more facts?
Speaker 13: But if it's not an uprising concern, it would be assumption.
Speaker 4: All just wonder these things happens.
Speaker 5: Right, Well, I'm a mother.
Speaker 13: I completely understand.
Speaker 25: That's why I'm merely asking if there's a rise of
Speaker 25: concern on child kidnapping.
Speaker 13: I would love to know about two young children.
Speaker 4: I'm concerned about it every single day because I'm response
Speaker 4: for all these schools.
Speaker 25: Percent I worry about it every day. I carried a
Speaker 25: pistol in my purse twenty four to seven. I will
Speaker 25: protect my children, but in the mere case that I cannot,
Speaker 25: I need to know, Oh, there's an uprising kidnap children.
Speaker 10: Is that the case?
Speaker 4: Well, there's always a chance, and the Chief mentioned earlier
Speaker 4: in his heart, we've had the sixteen year old get taken,
Speaker 4: and we have these things happen time and time. Typically,
Speaker 4: usually it's the non custodial parent is what usually takes
Speaker 4: these kids from my husband's.
Speaker 25: That doesn't apply to me here. My question is, okay,
Speaker 25: my question is I feel like we're getting off topic here.
Speaker 25: My question is, so there is not a rise in
Speaker 25: child kidnapping crimes of partless?
Speaker 2: No, that's wrong, ma'am.
Speaker 1: I guess I don't understand why you're asking that question,
Speaker 1: but simple reason there.
Speaker 4: May be a way.
Speaker 25: Still different times, the city counselor has mentioned that concern.
Speaker 25: Our district attorney has mentioned that concern, and I believe
Speaker 25: it was either the Tulsa Police chief that also mentioned
Speaker 25: that concern.
Speaker 13: It is, it is a reason and it is logical
Speaker 13: right now.
Speaker 25: One because I'm a mother of two children in this
Speaker 25: city and that does concern me.
Speaker 1: Okay, I think you're miss under but maybe I'm misinterpreting
Speaker 1: the question.
Speaker 13: Concern, just asking very simple, is there an uprising childcat?
Speaker 2: Okay, thank you, there is an upright.
Speaker 10: In a right.
Speaker 26: I just wanted to say thank you very much for
Speaker 26: putting on this form. I just have two simple questions
Speaker 26: for the Flock folks, thank you for coming out today.
Speaker 8: One, you've mentioned a couple of times that the city
Speaker 8: of Bartonsville does own its own.
Speaker 26: Data, but there's a huge difference in data ownership and
Speaker 26: data custonianship. Do I take that to understand that flock
Speaker 26: itself actually maintains custodianship of the data that those cameras capture.
Speaker 11: So we use sorry, yeah, we use AWS Government Cloud
Speaker 11: to store your data.
Speaker 9: It's and to end encryptos. So the way it works
Speaker 9: is the images taken post of.
Speaker 6: The machine learning.
Speaker 11: It's stored there when your department can access it from
Speaker 11: a you know, as we've been mentioning, your police department
Speaker 11: owns it. That's contractual. We do not monetize any data.
Speaker 11: We also something that's important to know, as Kristen mentioned
Speaker 11: in her presentation, we don't have any DMB records here.
Speaker 11: I think it was also noted this is an investigative tool, right,
Speaker 11: so your police department still has to take that image,
Speaker 11: use other existing software that they have to potentially tie
Speaker 11: vehicle owner, et cetera.
Speaker 9: So really this is one piece of evidence to start.
Speaker 11: Investigation and just to kind of enter one of the
Speaker 11: other concerns all around privacy and protections. Please remember that
Speaker 11: the data is only stored for thirty days and it's
Speaker 11: hard delete it, and that's intentional in order to protect
Speaker 11: privacy right to not have.
Speaker 8: That long term intention of data.
Speaker 11: So that is an important piece and along with obviously
Speaker 11: the policies of the seiers of your department.
Speaker 21: The five thousands, you're saying that backer.
Speaker 6: No, no, only only the networks in it that we're
Speaker 6: sharing with.
Speaker 4: That's a one hundred eleven networks hunt of.
Speaker 6: Five thousand, but potentially thousands of people that to pot
Speaker 6: you interrupted someone else's time. If you get that and
Speaker 6: anually has to lead.
Speaker 26: To if you will for give me one more question please,
Speaker 26: My question is around flock safety itself. Is a publicly
Speaker 26: trade your companies selling private private where there can't be
Speaker 26: any shareholder interests that override the policies that they would
Speaker 26: normally employed.
Speaker 11: We're privately helped and all our contracts are reviewed by
Speaker 11: your city and starting your policymakers.
Speaker 9: So we are holding to the contact that we have
Speaker 9: with you.
Speaker 11: As you may remember from Christian's presentation, we're a software
Speaker 11: as a service a model. So at any time you
Speaker 11: know these we will if the city decides to not
Speaker 11: continue the contract, we will.
Speaker 9: Take our our hardware out.
Speaker 6: Of the city.
Speaker 11: And so it's for us it's really important to hey
Speaker 11: follow that. But also that's where your policymakers and police
Speaker 11: department come together to create a policy that reflects your community.
Speaker 27: You said that flock doesn't sell any of the data
Speaker 27: day or collecting. Is there third parties or team companies
Speaker 27: that our police department could sell that data too if
Speaker 27: they wanted to do like traffic mining or like Hey,
Speaker 27: this is a disease intersection.
Speaker 4: They're probably a lot of like this is a.
Speaker 9: Driving front here, Mercedes, maybe.
Speaker 6: We should market order here that kind of information.
Speaker 10: No, there is there So.
Speaker 9: If you remember, this is also something that's really important.
Speaker 9: In order for them to access the system, they have.
Speaker 11: To answer a search reason every single time, and so
Speaker 11: the search reason is only creative. There's somebody that called
Speaker 11: the police department. There's a case summer associated with that.
Speaker 11: That's the only time they can then put in those
Speaker 11: filters that are associated with that case number that can
Speaker 11: be audited, and then they'll see individually which.
Speaker 10: Is that match stuf.
Speaker 11: There's no like mass bulk of like let me just
Speaker 11: see every single image today and then put that on
Speaker 11: a thumb drive type of situation.
Speaker 9: It's related to a case.
Speaker 10: Every single time.
Speaker 27: Sure, and then follow up questions, sorry for this is
Speaker 27: for Martlesville. What are the criteria that we select to
Speaker 27: decide who we share data with?
Speaker 6: Like if for some reason there was like a men's
Speaker 6: Facebook group and on the Facebook and.
Speaker 27: All the police decisions were like, oh hey, we're gonna
Speaker 27: set all of our flocked settings to this and now
Speaker 27: we're instantly sharing to all five thousand people.
Speaker 10: How would that work?
Speaker 27: Is that or something like no, we've got to approve
Speaker 27: if New York City wants to see our flock data.
Speaker 6: So it instantly, like you said earlier, it goes back
Speaker 6: to our settings. If it was up to me, I
Speaker 6: would share with all five thousand agencies automatically, because in
Speaker 6: December ninth, I didn't know that a sixteen year old's
Speaker 6: gonna be taken to the little ratum.
Speaker 4: December eleventh, I did.
Speaker 6: So to have the foresight to know that I need
Speaker 6: a network and already share with that agency define what's
Speaker 6: relevant to our case would be impossible. But okay, it's
Speaker 6: your question. We have preferences to set that could be
Speaker 6: in state only, that could be set to a perimeter
Speaker 6: of fifty mins two hundred and fifty miles five hundred miles,
Speaker 6: and when the next agency or the next network has
Speaker 6: their preference that automatically matches ours, they automatically start to share. Sure,
Speaker 6: and you said that your default would be shared with
Speaker 6: everybody no matter what. If it was completely up to me, okay,
Speaker 6: it would just want und to check. So currently we're
Speaker 6: sharing with one hundred and eleven agencies or one hundred
Speaker 6: and twelve agencies. And essentially, if we know that an
Speaker 6: investigation would be good to another agency that we're not
Speaker 6: sharing with, we can request share with that agency directly.
Speaker 11: Yes, right, And so for those one hundred eleven agencies
Speaker 11: that your department is sharing with, anytime one of their
Speaker 11: users searches your data, it's the same exact process they
Speaker 11: have to enter in a case number as well or
Speaker 11: reason code. And it's that there's an audit tool that
Speaker 11: your department has that lets them filtered by their your
Speaker 11: department and outside agencies and cross preference right for any
Speaker 11: potential missies. So that's also important to know as well.
Speaker 11: So everything in the system, it's your police department or
Speaker 11: the other police department, is audible.
Speaker 2: Dost tasting.
Speaker 28: Just a couple of questions to kind of a follow
Speaker 28: up on that that one so appreciate you putting up
Speaker 28: that transparency.
Speaker 4: Website for Bartlesville.
Speaker 6: Get indicated there that you can tell or we can
Speaker 6: tell how many.
Speaker 28: Times it's being accessed maybe not by who, but how
Speaker 28: many times.
Speaker 6: It's being accessed for Bartlesville surveillance data.
Speaker 28: Can you also see when those external entities the other
Speaker 28: one hundred and eleven are accessing your data? Will we
Speaker 28: see that on that transparency website.
Speaker 4: I don't believe the citizens do.
Speaker 6: I don't spend a lot of time on the citizens
Speaker 6: side of the audit.
Speaker 4: But I don't internalie we can't, okay.
Speaker 28: So if someone somewhere else is doing something nefarious or
Speaker 28: not you you won't know it.
Speaker 8: So you can and that the report there, it'll show.
Speaker 11: It doesn't show you officer names obviously for privacy and
Speaker 11: investigative purposes, but that list is providing you internal and
Speaker 11: external just searches right, that are happening. So that's an
Speaker 11: important piece. And then from an audit perspective, and I
Speaker 11: don't want to be for the department, I believe in
Speaker 11: your policy you will be auditing out of frequency as
Speaker 11: it every month, so they are able to then go
Speaker 11: with their audit and check both sides, right, you know,
Speaker 11: or all searches, so that that's something that they will
Speaker 11: do by policy.
Speaker 6: Okay, But there's not a report.
Speaker 2: If someone in sky took.
Speaker 6: Where his mind tag where, you won't know it until
Speaker 6: you run that audit.
Speaker 10: At some point.
Speaker 9: He will know if if if if that if you
Speaker 9: run once he runs.
Speaker 11: That audit, and if there's a misuse for whatever reason
Speaker 11: they will be able.
Speaker 6: To follow up.
Speaker 28: Okay, all right, and then just to follow the second
Speaker 28: question and think just for the for they on this one.
Speaker 6: So to get location data on one of these, you
Speaker 6: need a warrant. Well is it pisen?
Speaker 4: They stand up?
Speaker 1: I need sit down.
Speaker 4: It pays on where it's off. I could that phone
Speaker 4: your hand yessers, because it's in your hands, yourman, your
Speaker 4: personal property. If it was to like AT and T
Speaker 4: or veriety something like that, we'd have to see this
Speaker 4: search warn't to AT and T or Verizon.
Speaker 28: Okay, okay, So my question is at what point does
Speaker 28: a the flock camera systems end up being this Because
Speaker 28: this right here tracks me wherever I go, but.
Speaker 9: I can leave it at home, but I can't take
Speaker 9: the tag off my vehicle.
Speaker 28: Right However, they've kind of decided that this thing right
Speaker 28: here is like a GPS. You're carrying a GPS around
Speaker 28: with it, and if you've got thirty days worth of
Speaker 28: data and you've got my tag number, you can tell where.
Speaker 8: I've been for thirty days.
Speaker 6: How is that different than this right here?
Speaker 4: Well, I would I would say, don't go tell everybody
Speaker 4: that's the phones. Okay, yes, your phones guys turned on.
Speaker 4: But as far as we can't tell you everywhere what
Speaker 4: serece where you're going. It's just like if you've gone
Speaker 4: by those ten cameras, you know, not everywhere you've been.
Speaker 4: And as far as when it gets to that point,
Speaker 4: I think it comes to total survey. It's like if
Speaker 4: we had like five hundred cameras across Bartlesville and more
Speaker 4: of Washington County and I can tell where everybody was
Speaker 4: at at all times, not me, but whoever's.
Speaker 6: In the system.
Speaker 4: I think we get there is a point where it's
Speaker 4: like too too much, right, ten cameras, I don't even
Speaker 4: get there. But again it goes back to the constitutional
Speaker 4: law too under on the tag, it's on the back
Speaker 4: of your vehicle, playing to you the expectation of privacy.
Speaker 4: So they answer your question, Thanks sir, About.
Speaker 6: Five minutes left.
Speaker 8: Okay, I'll make my foot I had you mentioned earlier,
Speaker 8: you guys that flock doesn't have access to the data.
Speaker 6: Is that what you said?
Speaker 9: Yeah, the dida's owned by Bartlesville PD. We do not
Speaker 9: have access to sellers.
Speaker 29: Okay, so earlier the I just have a question of clarification.
Speaker 29: I guess earlier the chief said before we had access to.
Speaker 30: The cameras, that there was the murder, and they called
Speaker 30: up the rep that was selling the Flock cameras and
Speaker 30: they were being the system to find out the cars
Speaker 30: were up in Kansas. So I guess my question is
Speaker 30: how did we do that? And b is so Flock
Speaker 30: representative going to use our data to sells to another community?
Speaker 6: Yeah? So that Flock representative was a retired officer from
Speaker 6: which Tall PD.
Speaker 9: He himself did not run the cameras.
Speaker 6: He actually got us our detectives in contact with a
Speaker 6: law enforcement agency, out of which Tall they ran the
Speaker 6: cameras for us.
Speaker 8: Okay, thinking, wow, I got you got a question for that?
Speaker 31: Yes, sir, just starting it says in McLean County, Oklahoma,
Speaker 31: State of Oklahoma versus i'llivet bar out suppressed the un
Speaker 31: license plate scanner evidence, citing Oklahoma's legal prohibition of the technology.
Speaker 4: So I do another question gonna come up tonight. I
Speaker 4: actually talked to the prosecutor about if I went thirty
Speaker 4: today about that case. Here's what happened in that that
Speaker 4: McLean County case. That's a district court case. Okay, So
Speaker 4: carry is no way anywhere in the world except for
Speaker 4: that one case in McLean County, which is south of Norman, Okay.
Speaker 4: What happened was they're trying to get the image of
Speaker 4: that vehicle from LPR into aquiminent case. The judge said
Speaker 4: that they seem to think wrongly decided that you vet
Speaker 4: statue his decision. But guess what the pictures came in
Speaker 4: in that case anyway, So that didn't get a chance.
Speaker 4: Let me finish up real quick though. Yeah, so that
Speaker 4: that didn't get a chance to be appealed. So we'll
Speaker 4: never know the answer on that case that that was
Speaker 4: right or not for that for the vet reason under
Speaker 4: g because the pictures came anyway, God's gone guilty of trial,
Speaker 4: it's going to be the state can't appeal that until
Speaker 4: the trials are state one, so defending gets to appealed that.
Speaker 32: So I'm not referring to the specific case. I'm referring
Speaker 32: to the state of Oklahoma prohimoty the use. It's been
Speaker 32: tried also through Tulsa, through the Mayor of Tulsa, that
Speaker 32: you cannot that it's illegal to use these cameras in
Speaker 32: the state of Oklahoma. Who said that in the state
Speaker 32: of Oklahoma, Representative again put this on his sites.
Speaker 4: Yeah, he had. He had a whole form and a
Speaker 4: study done about this. Risid of Gan thinks that one
Speaker 4: person thinks that it says.
Speaker 33: That it was citing Oklahoma was legal prohibition of the technology.
Speaker 8: That's what I was asking.
Speaker 4: He must be citing Gee. I've feen on YouTube a
Speaker 4: little bit again the internet, you know, but he cites
Speaker 4: this McClain. I don't know risardive Gan at all.
Speaker 6: I don't know the man.
Speaker 4: It's probably great dude, I don't know him. But he
Speaker 4: cites the McLean County case quite a bit. But again
Speaker 4: it didn't go anywhere because all because they had just
Speaker 4: came a different way, right, So I believe faist to him,
Speaker 4: he's citing that g But we kind of talked about it.
Speaker 4: It's only as to the ubed cameras that those seventy
Speaker 4: eight cameras have to be used along for the U
Speaker 4: beat system.
Speaker 8: So I don't know.
Speaker 4: I think may be incorrect about that, but I think
Speaker 4: we're gonna find out for sure legislator this year. But
Speaker 4: he did an internal study that they talked all about this.
Speaker 4: It's quite an interesting watch on the internet, you'll, Washington.
Speaker 33: So I have to show you the other because it
Speaker 33: hasn't study information also and it also has some other references.
Speaker 33: The other question that I had is could you go
Speaker 33: into a little bit more as far as the funding
Speaker 33: for this.
Speaker 8: Where's the funds coming from?
Speaker 4: So the city council in the city of Barsoo pays
Speaker 4: for nine of the cameras. As Chief Michael Berry said,
Speaker 4: I paid for one of the cameras through a drug
Speaker 4: fund forfeiture assets.
Speaker 1: And part of the funds from for our cameras came
Speaker 1: from ceased property from from all all kinds of different
Speaker 1: cases that we had in the avidage room. So we
Speaker 1: uh sold that off for traders. I think we we've
Speaker 1: traded into some of that off. Anyhow, we got we
Speaker 1: got funds back for that and that helped fund this project.
Speaker 1: This was not part of the budget that initially.
Speaker 2: To carry down. We would be a budget em Yes,
Speaker 2: unless we.
Speaker 1: Get sponsors, and there's likely we could get sponsors such
Speaker 1: as mister Drake right one time, he says, one time
Speaker 1: we end up men one time a year. All right,
Speaker 1: it's eight o'clock. We're gonna wrap things up. We really
Speaker 1: do appreciate you all coming out. We've we had forms
Speaker 1: every I'm sorry, we.
Speaker 2: Got one more. Okay, uh uh. We have we have
Speaker 2: forums on hot topics to it with a police department
Speaker 2: a QUI. Regularly we invite you guys to come back
Speaker 2: for those We've.
Speaker 1: Had one for the homeless problem. We've had one for
Speaker 1: fend are the final forms other issues with it. We'll
Speaker 1: have the neighborhood meetings where we are your neighborhood and
Speaker 1: ask you to tell us what your problems are.
Speaker 2: We have citizens do that. We appreciate that. We want
Speaker 2: to police the city in Borlsville.
Speaker 1: The best we can, and the way we do that
Speaker 1: is get feedback from the people that come to our forms.
Speaker 1: So thanks for being here tonight. I know the city
Speaker 1: council appreciates it as well.
Speaker 34: And mister Kirkpatrick, first, I want to say thank you
Speaker 34: to everybody who's come.
Speaker 10: This is a hot topic with.
Speaker 26: Serious things at stake, and then it makes me happy
Speaker 26: to see that our communities have engaged in this and
Speaker 26: I appreciate you guys being a part of this as well,
Speaker 26: because it is not easy to stand in.
Speaker 34: Front of a remove people who are concerned with high
Speaker 34: emotions and respond and listen to those things. I think
Speaker 34: this question is probably more for our flock representatives. I've
Speaker 34: approached this with the question I kind of called the
Speaker 34: ex boyfriend problem. We saw this, I guess in Kansas
Speaker 34: that there was an officer who was caught basically stalking
Speaker 34: an ex girlfriend.
Speaker 8: It's the jilted lever issue.
Speaker 9: We've seen this at the NSA level, so we've seen
Speaker 9: at the federal level.
Speaker 8: But this is now doing thisipal level. What protections are
Speaker 8: in place?
Speaker 34: I don't know if the software thing isn't only an
Speaker 34: accountability with you know, city council, city management kind of stuff.
Speaker 34: How do we solve for the ex boyfriend problem to
Speaker 34: make sure that this isn't abused at the very intimate
Speaker 34: levels like that.
Speaker 9: Yeah, and for the community. This case that you're talking about,
Speaker 9: there was a case.
Speaker 11: Outside of which it's a catchy Kansas where an officer
Speaker 11: abused the system. He went in and searched for his
Speaker 11: ex girlfriend. That's a felony, right, he is being adjudicated
Speaker 11: for that. But what was in place there was a
Speaker 11: couple of things that are places that are really important
Speaker 11: from the system's perspective. There's an audit tool in place
Speaker 11: that allowed law enforcement to catch the misuse.
Speaker 9: No case number that is matched, why is this vehicle
Speaker 9: being searched.
Speaker 11: From a policy perspective, which I'm really glad the council's here.
Speaker 11: If honestly we go to communities throughout the country, it's
Speaker 11: very seldom is it more than a dozen people. So
Speaker 11: and I really truly mean that it's great when the
Speaker 11: public has the ability to provide input.
Speaker 10: And so from a.
Speaker 11: Policy perspective, is ensuring that the police department has instituted
Speaker 11: that audit that they're following that. I think some of
Speaker 11: the best practices that I've seen is that they're providing
Speaker 11: that it's just as an agenda as part of your
Speaker 11: agenda item rank. It's there for the council to see
Speaker 11: as the elected officials. It's on the transparency portal. So
Speaker 11: that's one way. And then you know, looking at what
Speaker 11: uses reflect community values, which the department here has talked about,
Speaker 11: right solving serious crimes, burglaries, etc.
Speaker 9: And so I think from a policy perspective, those are
Speaker 9: things to think about.
Speaker 11: But then from the systems perspective is can you catch
Speaker 11: any misuse and that's what we've done, and can you reduce.
Speaker 9: Risk by having that limited retention?
Speaker 13: Right?
Speaker 9: And so that's where why we build the system that
Speaker 9: in that way, okay?
Speaker 2: Is that it all right?
Speaker 35: Mayor Pika Chief and UH, I certainly have a uh
Speaker 35: mister Kirkpatrick's uh as sentiments and no, mister uh Dorsey
Speaker 35: and uh mister Rees appreciate uh the public's input tonight.
Speaker 8: It's important.
Speaker 10: UH you know, these are important decisions we make.
Speaker 35: Appreciate a police department being here with a poor fright
Speaker 35: discussion for the public and uh trying to answer all
Speaker 35: the questions that are out there.
Speaker 4: And we've got a lot of.
Speaker 2: Questions answered tonight.
Speaker 10: I know there's more.
Speaker 35: You've got a website you can you can boast your
Speaker 35: me you can post questions on and we'll try to
Speaker 35: get those answers to you. So with that, I'm gonna
Speaker 35: adjourn our city portion of the meeting tonight and thank
Speaker 35: everybody again for coming out.
Speaker 1: Thank you,