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Speaker 1: So the way the AI works is there's a center

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off the side of the roadway. It's looking down, it's

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providing a video stream. So not only can we count

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the traffic, but we know whether it's a motorcycle, it's

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a school bus, it's a passenger vehicle, it's an eighteen wheeler,

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or it's an eighteen wheeler, a double squalled, a duly,

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or if it's a dump truck. So there's thirteen classes

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that the federal government uses for vehicles, and the AI

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is aligned to those thirteen classes that provide that information

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much more effectively, much more accurately, and importantly in a

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safer manner.

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Speaker 2: You are listening to Carrie Let's's Financial Survival Network where

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you get valuable information you just can't find anywhere else

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to thrive in today's trying times. You need the Financial

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Survival Network now more than ever. Go to Financial Survivalnetwork

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dot com and get your free newsletter in gift Financial

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Survival Network now more than ever.

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Speaker 3: And welcome. You are listening to the Financial Survival Network.

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I'm your host, Carrie Lutz.

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Speaker 1: Well.

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Speaker 3: Technology AI is moving quicker than the speed of thought,

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certainly quicker than the speed of human thought. And well,

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we've got an interesting application here that is really going

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to eventually change your life. Well, let's get to it.

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And Charles Degliomini is with us now, Recourse Systems. Charles,

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what you're attempting to do is to revolutionize the way

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highways are managed, effectively reported, where data is collected. Why

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did you tell us what you're doing?

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Speaker 1: Yeah, thanks for the opportunity, Carrie. It's pleasure to be

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with you this afternoon. Yeah. ReCore is a roadway intelligence company. So,

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and it's not Charlie working on AI in his garage

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right where a NAZZAC listed company were located in Columbia, Maryland.

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We've got about three hundred and forty people, some very

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smart engineers here, some very smart AI folks working on

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roadway intelligence. And what we mean by roadway intelligence is

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being able to look down at the roadway through a

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video stream and pull out information about what's happening on

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America's roadways.

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Speaker 3: Okay, so how does it happen?

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Speaker 1: Now? How does that work? Now? So when you think

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about it, it happens in a couple of different ways.

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So our roadways are dumb, but our cars are smart. Right,

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So the infrastructure that exists on roadways hasn't changed since

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Eisenhower was president, right, so fast forward to today. There

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is a way to put sensors on the roadway. And

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if you think about it, think about it as a

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computer operating at the side of the roadway that's able

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to interpet data through the AI and serve up better results. Right,

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and it keeps because it happens off the roadway, not

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on the roadway. It's a safer application to the way

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things are done currently. An example of that would be

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if anyone has ever driven over a rubber tube, right,

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you may I'm old enough to remember driving into the

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shell gas station and you drive over a rubber tube

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and rings a bell in the back and the gas

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attendant comes out to help you with the car. Those

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days are over, but America is still deploying rubber tubes,

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if you can believe it or not, on roadways to

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literally count cars, because it's very important to understand the

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amount of volume and the types of vehicles that are

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traveling on different roadways, and it really aligns the funding.

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Cities and states count traffic and also provide other roadway

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information back to the US Department of Transportation in order

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to get federal funding for maintenance and improvements of their roadway.

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But if you think about it, think about someone literally

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needs to dash across a roadway to string that rubber tube.

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The rubber tube fails, a big truck goes by dragging

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a chain, it gets shrewed up. That roadway worker has

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to go out and do that all over again. So

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why are we using rubber tubes? Right? It makes no sense.

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So the way the AI works is there's a center

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off the side of the roadway. It's looking down, it's

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providing a video stream. So not only can we count

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the traffic, but we know whether it's a motorcycle, it's

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a school bus, it's a passenger vehicle, it's an eighteen wheeler,

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or it's an eighteen wheeler a double called a duly,

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or if it's a dump truck. So there's thirteen classes

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that the federal government uses for vehicles, and the AI

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is aligned to those thirteen classes that provide that information

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much more effectively, much more accurately, and importantly in a

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safer manner, keeps people from getting hit and engines. And

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you know there's here in Maryland. There was a horrific

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story last year about a group of roadway workers. There

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were seven of them. Two were family members of father

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and son, and four of them that were hit while

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they were working on the roadway and unfortunately killed. So

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we're in the business of improving safety for workers and

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improving the data that comes from our US roadways.

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Speaker 3: Okay, so how is AI going to actually help with that?

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Speaker 1: So it helps as I just described, So it could be.

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It could be for the for the mission of reporting data.

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We talked about Robert tubes. The other thing is if

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any of your audience is set traffic like I do typically,

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and you watch your guy, the lanes are closed, you're

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watching somebody with a jackhammer digging up a roadway. That's

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another way to a very inefficient way, another very analog

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way of counting traffic. It involves embedding a metal detecting

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sensor believe it or not, in the roadway and then

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once that's installed, you know, heavy trucks are going over it,

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and it fails, you know, relatively quickly. So there's a

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better way to do it. And it's the same way

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that you replace the rubber tube. You do it from

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the side of the roadway, right, you do it through

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the AI you're able to prevent people's frustration from sitting

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in traffic, you prevent the pollution, and you get people

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home in time for dinner instead of inconveniencing them because

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you need to send out the guy with the jackhammer.

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Speaker 3: Yeah, okay, so it makes you more responsive, gives you

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real time data rather than having to wait for somebody

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to report it.

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Speaker 1: Right, right, So the Yeah, that's absolutely correct. So the

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AI works twenty four to seven. It works in real time,

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and it feeds the data. The other systems, it's kind

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of a mixed bag. Some of them you have to

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go out there and plug in an sd car to

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download the data. Other systems are a little more temporal.

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But yeah, you basically have that. You have that, correct,

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That's that's the process right now, and that's what Recourse

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Systems is looking to change, right We're looking to introduce

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smarter technology that's going to modernize our roadways here in America.

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And people, you know, a little bit of a wonkee subject,

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but anybody who drives doesn't realize they're being inconvenience because

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they're you know, because technology, modern technology is not being

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utilized to the fullest extent.

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Speaker 3: All right, So do you think that's going to result

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in the less highway depths and accidents.

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Speaker 1: Without a doubt. When you take people off the roadway,

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you're you're just lowering the risk profile and it absolutely

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has to help. You know, there is another way we

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can do, and I'll shift gears a little bit if

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if you're aware of traffic management centers. I think everybody

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has seen large rooms with multiple TV screens and you

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see traffic center operators are looking up at the screens

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and they're trying to figure out what's going on on

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their roadways. So the other application that ReCore system has

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built is for those traffic management centers right to put

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AI inside of those very very important rooms. You know,

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you would think that nothing is quicker than a nine

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to eleven call to get an emergency responder to the

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scene of an accident. Right. And you know when I

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when our guys, when our engineers first came to you

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with this new technology, I'm saying, well, I said, exactly, hey, guys,

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what's you know. I'm not a technologist, I'm not an engineer.

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I'm just the business guy here at Recorp. But we

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had a bunch of our very smart engineers come to

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us and say there's a better way to do this,

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And I said, what's faster than that nine to eleven call? So,

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if you think about it, when the nine to eleven

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call comes in, the person say there's an accident here

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and we need we need help or what kind of help

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you need? Police, fire, ambulance. Maybe it's one, maybe it's

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all three. And okay, where are you? Oh, I'm on

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I ninety five. Where are you on I ninety five?

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I think about exit three. I saw Baltimore, which is

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exit one actually right in my rearview mirror. Well are

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you northbound or southbound? No, I'm traveling west. Well I

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ninety five only goes north and see yeah, so but

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you'd be surprised, right, So you're at you know, you're

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at the whim of human fallibility when it comes to

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the nine to eleven call. What our AI does is

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we pull in disparate data, not just from video screens,

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but from bluetooth data, ways data. We pull in weavied data,

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We pull in connect in car data because our cars

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are constantly transmitting information about what's happening. Right, So if

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we see a weather event and we see traffic come

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to a dead stop, we see emergency braking, we see

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a windshield wipers activated, four way hazard flash is being activated.

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We're seeing information pop up on ways, and we see

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the Bluetooth data. We combine that to the traffic center

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operator and say look here, you need to look right

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here and see what's going on. And it makes the

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it makes the response to the incident more efficient. It

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also categorizes the response to the incident. We can look

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at the roadway and we'll know whether that say, mattress

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that fell off the back of a you know, Ford

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F one point fifty and is now in the breakdown lane,

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or if it's something like a multi vehicle pilot right,

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which is which is a much more serious event. So

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the right resources at the right time, and we can

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respond using the AI up to twenty three minutes faster

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than even the call into the nine one one operator exists.

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Speaker 3: That's amazing.

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Speaker 1: Yeah, it really is. And you know, we're very proud

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of this work. And you know it's live now in

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Las Vegas, Nevada. And if you I don't know, if

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you guys remember the shooting at Mandalay Bay, right, of course, Yeah,

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there was a Luke Bryant concert and then some crazy

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guy was hanging out the window just firing down onto

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the concert venue. Yes, so we had just gone live

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like a week or two before that terrible incident, and

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what we were able to do is to help emergency

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responders figure out the roadways that needed to be blocked,

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the traffic that was building up, what was stopping, what

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was going, And we were able to get you know,

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emergency responders on scene quicker once again using this platform,

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which we call recoor command.

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Speaker 3: Wow, that's amazing.

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Speaker 1: Also, yeah, it's operating in a lot of big cities. Austin,

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Texas is another one. Yeah, you know, it depends. It's

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it depends on how much functionality you want. Right. I

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don't give rices over the air in public venues, right

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our customers are Yeah, so.

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Speaker 3: You know we it millions and millions of dollars.

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Speaker 1: No, not at all, No, no, no, not at all.

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And when you think about the cost of something, we

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even have. Look, we even something called a calculator that

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we we could tease up information about what it costs

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when there is let's say, even a simple two car

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accident and and the build up in traffic delay that

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it causes, and you know, the the impact on people's

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time and money and their ability to you know, get

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to work on time. Right. We actually have a formula

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for it where you could you can plug into the

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calculator and you could see the net benefit result financially

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of being able to respond more quickly two incidents on

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our US roadways.

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Speaker 3: That's amazing. So do you think is there a lot

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of other companies working on similar technology here?

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Speaker 1: You know, parts of it. You know, there's a lot

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of focus on intersections right now, we don't. We don't

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do that like AI for you know, understanding pedestrians that

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are in intersections and walking. It's it's something that's on

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our roadmap, but it's not something we do. A lot

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of companies specialize in intersection kind of AI. But this

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comprehensive approach to the roadway is something that's pretty unique

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to Recoor and we're we're proud of the work that

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we're doing. We think it's important work.

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Speaker 3: Yeah, definitely anything that makes the makes things more safe,

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because you know, forty five thousand people a year get

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killed on the nation's highways, right, It's it's incredible.

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Speaker 1: You know, the numbers dropped off obviously during COVID, but

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came back with you know, came back with came back

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with a vengeance, and uh, and we're not doing too

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much about it. You know, you see public service announcements

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and you know, slow down, move over when you see

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a roadway worker be calf hole. But those are public

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service announcements and it doesn't really help in terms of

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optimizing a response to an incident. And you know, and

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and in the other area too, is why are we

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we need to report traffic data. We understand that there's

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a there's a federal formula where you know, county and

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state and city and governments are funded for their roadway

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maintenance and repair and to create safe roadways, and that

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that traffic needs to be understood, but why the heck

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are we doing it the same way we did it

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in the nineteen fifties, in the nineteen sixties, right, So

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you know, it's a if you understand a bell curve

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of technology adoption. You know, I was I was an

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early user of the iPhone. I think I had the

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first iPhone, and people like, what the heck is that? Right?

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I was an early ethnology adopter. Yeah, yeah, So you

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see people in uh, you know, you see governments some

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governments are very forward leaning and want technology. Texas, by

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the way, is a great example of this. They have

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tremendous leadership in AI and the modernizing technology for Texas roadways.

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And we're very proud to have tech stot Texas Department

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of Transportation as one as one of our customers. The

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other states, you know, they're they're waiting for I don't

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know why, they're waiting for something that happened to get

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them moving, right, so they come guardians of the status quo. Well,

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we've always done it this way, So it's a it's

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a bit of a mixed bag, right. So you see

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you see entities, organizations, governments very much leading into this,

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and then you see others that are just hey, you know,

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we've never done it that way before, and it all

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seems all new and all frightening. Right. So it's a process,

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and it's our job to educates as well as deployer technology.

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So we do a lot of evangelizing.

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Speaker 3: Yeah, i'd imagine private tollways are more proactive here, right.

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Speaker 1: It's a great point. Boy, that's a really that's a

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really good one. Yeah, toll operators are are are are

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more leaning into all this I would say uh with uh,

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you know, with more alacrity than than other entities. But yeah,

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they are. Look, they're used to using technology, right, So

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every time you drive through the easy path system or something,

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you know, your your RFID transponder is saying, okay, I'm here,

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you know, pick up my credit card and charge my toll.

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So they're used to that. But they so they're they're

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leaning into they have a lot of modern technology on

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their roadways, and they're they're and but look, everyone is

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interested too. You know the Tesla, Kerry, you mentioned to

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me before before we got on the air here that

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you drive a Tesla. What people don't realize is how

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heavy a Tesla could be, right up to five thousand pelles.

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So when your Tesla breaks down, you can't get a

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conventional pickup truck to come. You need a flatbed to

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take that away. Right. So, because our AI knows we

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look at the roadway and through that video screen, we

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know if it's a Tesla, we know if it's a

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BMWY three, we know if it's a Cadillac Lyric. Well,

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we know if it's a twenty twenty three red Ford

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one P fifty. Right, an internal combustion engine. Right, So

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being able to understand and divine this spec specificity of vehicles,

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whether it's on a tollway or a state Department of transportation,

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or even if it's on a local, county or city

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road is really important information and we can provide that

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once again through the AI.

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Speaker 3: All right, all right, so tell us how we find

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you and how we connect with you on the web.

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Speaker 1: Yeah, the best way to find Record and it's www

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dot R e k O R dot AI. That's Record

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dot AI.

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Speaker 3: And the link is in the show notes of this

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interview on Financial Survival Network dot com. And hey, we

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just asked that when you go there you sign up

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for your free newsletter, and like seventy thousand of you

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out there have done already. Appreciate you coming on and

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we will talk again soon when you have your next

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big innovation out there, Charlie, okay.

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Speaker 1: Well, appreciate the conversation. Kerrie, thanks and have a good day.

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Speaker 2: Thanks for listening. Carry lets this Financial Survival Network your

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solution to today's trying times. For the latest, go to

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Financial Survivalnetwork dot com. Financial Survival Network now more than

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ever