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Saving Lives With Smart Road Tech - Charlie Degliomini #6254 · Financial Survival Network

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  Speaker 1: So the way the AI works is there's a center
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  Speaker 1: off the side of the roadway. It's looking down, it's
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  Speaker 1: providing a video stream. So not only can we count
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  Speaker 1: the traffic, but we know whether it's a motorcycle, it's
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  Speaker 1: a school bus, it's a passenger vehicle, it's an eighteen wheeler,
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  Speaker 1: or it's an eighteen wheeler, a double squalled, a duly,
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  Speaker 1: or if it's a dump truck. So there's thirteen classes
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  Speaker 1: that the federal government uses for vehicles, and the AI
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  Speaker 1: is aligned to those thirteen classes that provide that information
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  Speaker 1: much more effectively, much more accurately, and importantly in a
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  Speaker 1: safer manner.
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  Speaker 2: You are listening to Carrie Let's's Financial Survival Network where
• 0:44
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• 1:00
  Speaker 2: 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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  Speaker 3: 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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  Speaker 3: certainly quicker than the speed of human thought. And well,
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  Speaker 3: we've got an interesting application here that is really going
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  Speaker 3: to eventually change your life. Well, let's get to it.
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  Speaker 3: And Charles Degliomini is with us now, Recourse Systems. Charles,
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  Speaker 3: what you're attempting to do is to revolutionize the way
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  Speaker 3: highways are managed, effectively reported, where data is collected. Why
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  Speaker 3: 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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  Speaker 1: with you this afternoon. Yeah. ReCore is a roadway intelligence company. So,
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  Speaker 1: and it's not Charlie working on AI in his garage
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  Speaker 1: right where a NAZZAC listed company were located in Columbia, Maryland.
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  Speaker 1: We've got about three hundred and forty people, some very
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  Speaker 1: smart engineers here, some very smart AI folks working on
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  Speaker 1: roadway intelligence. And what we mean by roadway intelligence is
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  Speaker 1: being able to look down at the roadway through a
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  Speaker 1: video stream and pull out information about what's happening on
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  Speaker 1: 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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  Speaker 1: about it, it happens in a couple of different ways.
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  Speaker 1: So our roadways are dumb, but our cars are smart. Right,
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  Speaker 1: So the infrastructure that exists on roadways hasn't changed since
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  Speaker 1: Eisenhower was president, right, so fast forward to today. There
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  Speaker 1: is a way to put sensors on the roadway. And
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  Speaker 1: if you think about it, think about it as a
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  Speaker 1: computer operating at the side of the roadway that's able
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  Speaker 1: to interpet data through the AI and serve up better results. Right,
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  Speaker 1: and it keeps because it happens off the roadway, not
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  Speaker 1: on the roadway. It's a safer application to the way
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  Speaker 1: things are done currently. An example of that would be
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  Speaker 1: if anyone has ever driven over a rubber tube, right,
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  Speaker 1: you may I'm old enough to remember driving into the
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  Speaker 1: shell gas station and you drive over a rubber tube
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  Speaker 1: and rings a bell in the back and the gas
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  Speaker 1: attendant comes out to help you with the car. Those
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  Speaker 1: days are over, but America is still deploying rubber tubes,
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  Speaker 1: if you can believe it or not, on roadways to
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  Speaker 1: literally count cars, because it's very important to understand the
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  Speaker 1: amount of volume and the types of vehicles that are
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  Speaker 1: traveling on different roadways, and it really aligns the funding.
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  Speaker 1: Cities and states count traffic and also provide other roadway
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  Speaker 1: information back to the US Department of Transportation in order
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  Speaker 1: to get federal funding for maintenance and improvements of their roadway.
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  Speaker 1: But if you think about it, think about someone literally
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  Speaker 1: needs to dash across a roadway to string that rubber tube.
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  Speaker 1: The rubber tube fails, a big truck goes by dragging
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  Speaker 1: a chain, it gets shrewed up. That roadway worker has
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  Speaker 1: to go out and do that all over again. So
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  Speaker 1: why are we using rubber tubes? Right? It makes no sense.
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  Speaker 1: So the way the AI works is there's a center
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  Speaker 1: off the side of the roadway. It's looking down, it's
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  Speaker 1: providing a video stream. So not only can we count
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  Speaker 1: the traffic, but we know whether it's a motorcycle, it's
• 4:39
  Speaker 1: a school bus, it's a passenger vehicle, it's an eighteen wheeler,
• 4:44
  Speaker 1: or it's an eighteen wheeler a double called a duly,
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  Speaker 1: or if it's a dump truck. So there's thirteen classes
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  Speaker 1: that the federal government uses for vehicles, and the AI
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  Speaker 1: is aligned to those thirteen classes that provide that information
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  Speaker 1: much more effectively, much more accurately, and importantly in a
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  Speaker 1: safer manner, keeps people from getting hit and engines. And
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  Speaker 1: you know there's here in Maryland. There was a horrific
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  Speaker 1: story last year about a group of roadway workers. There
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  Speaker 1: were seven of them. Two were family members of father
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  Speaker 1: and son, and four of them that were hit while
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  Speaker 1: they were working on the roadway and unfortunately killed. So
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  Speaker 1: we're in the business of improving safety for workers and
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  Speaker 1: 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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  Speaker 1: It could be for the for the mission of reporting data.
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  Speaker 1: We talked about Robert tubes. The other thing is if
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  Speaker 1: any of your audience is set traffic like I do typically,
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  Speaker 1: and you watch your guy, the lanes are closed, you're
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  Speaker 1: watching somebody with a jackhammer digging up a roadway. That's
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  Speaker 1: another way to a very inefficient way, another very analog
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  Speaker 1: way of counting traffic. It involves embedding a metal detecting
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  Speaker 1: sensor believe it or not, in the roadway and then
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  Speaker 1: once that's installed, you know, heavy trucks are going over it,
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  Speaker 1: and it fails, you know, relatively quickly. So there's a
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  Speaker 1: better way to do it. And it's the same way
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  Speaker 1: that you replace the rubber tube. You do it from
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  Speaker 1: the side of the roadway, right, you do it through
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  Speaker 1: the AI you're able to prevent people's frustration from sitting
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  Speaker 1: in traffic, you prevent the pollution, and you get people
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  Speaker 1: home in time for dinner instead of inconveniencing them because
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  Speaker 1: 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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  Speaker 3: real time data rather than having to wait for somebody
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  Speaker 3: to report it.
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  Speaker 1: Right, right, So the Yeah, that's absolutely correct. So the
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  Speaker 1: AI works twenty four to seven. It works in real time,
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  Speaker 1: and it feeds the data. The other systems, it's kind
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  Speaker 1: of a mixed bag. Some of them you have to
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  Speaker 1: go out there and plug in an sd car to
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  Speaker 1: download the data. Other systems are a little more temporal.
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  Speaker 1: But yeah, you basically have that. You have that, correct,
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  Speaker 1: That's that's the process right now, and that's what Recourse
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  Speaker 1: Systems is looking to change, right We're looking to introduce
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  Speaker 1: smarter technology that's going to modernize our roadways here in America.
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  Speaker 1: And people, you know, a little bit of a wonkee subject,
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  Speaker 1: but anybody who drives doesn't realize they're being inconvenience because
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  Speaker 1: they're you know, because technology, modern technology is not being
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  Speaker 1: 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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  Speaker 3: 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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  Speaker 1: you're you're just lowering the risk profile and it absolutely
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  Speaker 1: has to help. You know, there is another way we
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  Speaker 1: can do, and I'll shift gears a little bit if
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  Speaker 1: if you're aware of traffic management centers. I think everybody
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  Speaker 1: has seen large rooms with multiple TV screens and you
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  Speaker 1: see traffic center operators are looking up at the screens
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  Speaker 1: and they're trying to figure out what's going on on
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  Speaker 1: their roadways. So the other application that ReCore system has
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  Speaker 1: built is for those traffic management centers right to put
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  Speaker 1: AI inside of those very very important rooms. You know,
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  Speaker 1: you would think that nothing is quicker than a nine
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  Speaker 1: to eleven call to get an emergency responder to the
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  Speaker 1: scene of an accident. Right. And you know when I
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  Speaker 1: when our guys, when our engineers first came to you
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  Speaker 1: with this new technology, I'm saying, well, I said, exactly, hey, guys,
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  Speaker 1: what's you know. I'm not a technologist, I'm not an engineer.
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  Speaker 1: I'm just the business guy here at Recorp. But we
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  Speaker 1: had a bunch of our very smart engineers come to
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  Speaker 1: us and say there's a better way to do this,
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  Speaker 1: And I said, what's faster than that nine to eleven call? So,
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  Speaker 1: if you think about it, when the nine to eleven
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  Speaker 1: call comes in, the person say there's an accident here
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  Speaker 1: and we need we need help or what kind of help
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  Speaker 1: you need? Police, fire, ambulance. Maybe it's one, maybe it's
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  Speaker 1: all three. And okay, where are you? Oh, I'm on
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  Speaker 1: I ninety five. Where are you on I ninety five?
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  Speaker 1: I think about exit three. I saw Baltimore, which is
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  Speaker 1: exit one actually right in my rearview mirror. Well are
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  Speaker 1: you northbound or southbound? No, I'm traveling west. Well I
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  Speaker 1: ninety five only goes north and see yeah, so but
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  Speaker 1: you'd be surprised, right, So you're at you know, you're
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  Speaker 1: at the whim of human fallibility when it comes to
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  Speaker 1: the nine to eleven call. What our AI does is
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  Speaker 1: we pull in disparate data, not just from video screens,
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  Speaker 1: but from bluetooth data, ways data. We pull in weavied data,
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  Speaker 1: We pull in connect in car data because our cars
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  Speaker 1: are constantly transmitting information about what's happening. Right, So if
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  Speaker 1: we see a weather event and we see traffic come
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  Speaker 1: to a dead stop, we see emergency braking, we see
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  Speaker 1: a windshield wipers activated, four way hazard flash is being activated.
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  Speaker 1: We're seeing information pop up on ways, and we see
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  Speaker 1: the Bluetooth data. We combine that to the traffic center
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  Speaker 1: operator and say look here, you need to look right
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  Speaker 1: here and see what's going on. And it makes the
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  Speaker 1: it makes the response to the incident more efficient. It
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  Speaker 1: also categorizes the response to the incident. We can look
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  Speaker 1: at the roadway and we'll know whether that say, mattress
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  Speaker 1: that fell off the back of a you know, Ford
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  Speaker 1: F one point fifty and is now in the breakdown lane,
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  Speaker 1: or if it's something like a multi vehicle pilot right,
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  Speaker 1: which is which is a much more serious event. So
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  Speaker 1: the right resources at the right time, and we can
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  Speaker 1: respond using the AI up to twenty three minutes faster
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  Speaker 1: 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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  Speaker 1: of this work. And you know it's live now in
• 11:18
  Speaker 1: Las Vegas, Nevada. And if you I don't know, if
• 11:22
  Speaker 1: you guys remember the shooting at Mandalay Bay, right, of course, Yeah,
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  Speaker 1: there was a Luke Bryant concert and then some crazy
• 11:31
  Speaker 1: guy was hanging out the window just firing down onto
• 11:36
  Speaker 1: the concert venue. Yes, so we had just gone live
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  Speaker 1: like a week or two before that terrible incident, and
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  Speaker 1: what we were able to do is to help emergency
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  Speaker 1: responders figure out the roadways that needed to be blocked,
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  Speaker 1: the traffic that was building up, what was stopping, what
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  Speaker 1: was going, And we were able to get you know,
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  Speaker 1: emergency responders on scene quicker once again using this platform,
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  Speaker 1: 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,
• 12:10
  Speaker 1: Texas is another one. Yeah, you know, it depends. It's
• 12:16
  Speaker 1: it depends on how much functionality you want. Right. I
• 12:20
  Speaker 1: don't give rices over the air in public venues, right
• 12:24
  Speaker 1: 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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  Speaker 1: And when you think about the cost of something, we
• 12:36
  Speaker 1: even have. Look, we even something called a calculator that
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  Speaker 1: we we could tease up information about what it costs
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  Speaker 1: when there is let's say, even a simple two car
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  Speaker 1: accident and and the build up in traffic delay that
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  Speaker 1: it causes, and you know, the the impact on people's
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  Speaker 1: time and money and their ability to you know, get
• 13:01
  Speaker 1: to work on time. Right. We actually have a formula
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  Speaker 1: for it where you could you can plug into the
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  Speaker 1: calculator and you could see the net benefit result financially
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  Speaker 1: of being able to respond more quickly two incidents on
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  Speaker 1: our US roadways.
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  Speaker 3: That's amazing. So do you think is there a lot
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  Speaker 3: 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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  Speaker 1: of focus on intersections right now, we don't. We don't
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  Speaker 1: do that like AI for you know, understanding pedestrians that
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  Speaker 1: are in intersections and walking. It's it's something that's on
• 13:39
  Speaker 1: our roadmap, but it's not something we do. A lot
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  Speaker 1: of companies specialize in intersection kind of AI. But this
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  Speaker 1: comprehensive approach to the roadway is something that's pretty unique
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  Speaker 1: to Recoor and we're we're proud of the work that
• 13:56
  Speaker 1: 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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  Speaker 3: because you know, forty five thousand people a year get
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  Speaker 3: 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
• 14:14
  Speaker 1: came back with you know, came back with came back
• 14:17
  Speaker 1: with a vengeance, and uh, and we're not doing too
• 14:20
  Speaker 1: much about it. You know, you see public service announcements
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  Speaker 1: and you know, slow down, move over when you see
• 14:27
  Speaker 1: a roadway worker be calf hole. But those are public
• 14:30
  Speaker 1: service announcements and it doesn't really help in terms of
• 14:36
  Speaker 1: optimizing a response to an incident. And you know, and
• 14:40
  Speaker 1: and in the other area too, is why are we
• 14:43
  Speaker 1: we need to report traffic data. We understand that there's
• 14:46
  Speaker 1: a there's a federal formula where you know, county and
• 14:50
  Speaker 1: state and city and governments are funded for their roadway
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  Speaker 1: maintenance and repair and to create safe roadways, and that
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  Speaker 1: that traffic needs to be understood, but why the heck
• 15:03
  Speaker 1: are we doing it the same way we did it
• 15:06
  Speaker 1: in the nineteen fifties, in the nineteen sixties, right, So
• 15:10
  Speaker 1: you know, it's a if you understand a bell curve
• 15:12
  Speaker 1: of technology adoption. You know, I was I was an
• 15:16
  Speaker 1: early user of the iPhone. I think I had the
• 15:18
  Speaker 1: first iPhone, and people like, what the heck is that? Right?
• 15:21
  Speaker 1: I was an early ethnology adopter. Yeah, yeah, So you
• 15:25
  Speaker 1: see people in uh, you know, you see governments some
• 15:29
  Speaker 1: governments are very forward leaning and want technology. Texas, by
• 15:34
  Speaker 1: the way, is a great example of this. They have
• 15:36
  Speaker 1: tremendous leadership in AI and the modernizing technology for Texas roadways.
• 15:43
  Speaker 1: And we're very proud to have tech stot Texas Department
• 15:46
  Speaker 1: of Transportation as one as one of our customers. The
• 15:51
  Speaker 1: other states, you know, they're they're waiting for I don't
• 15:55
  Speaker 1: know why, they're waiting for something that happened to get
• 15:58
  Speaker 1: them moving, right, so they come guardians of the status quo. Well,
• 16:02
  Speaker 1: we've always done it this way, So it's a it's
• 16:05
  Speaker 1: a bit of a mixed bag, right. So you see
• 16:06
  Speaker 1: you see entities, organizations, governments very much leading into this,
• 16:12
  Speaker 1: and then you see others that are just hey, you know,
• 16:16
  Speaker 1: we've never done it that way before, and it all
• 16:18
  Speaker 1: seems all new and all frightening. Right. So it's a process,
• 16:23
  Speaker 1: and it's our job to educates as well as deployer technology.
• 16:28
  Speaker 1: So we do a lot of evangelizing.
• 16:30
  Speaker 3: Yeah, i'd imagine private tollways are more proactive here, right.
• 16:36
  Speaker 1: It's a great point. Boy, that's a really that's a
• 16:38
  Speaker 1: really good one. Yeah, toll operators are are are are
• 16:45
  Speaker 1: more leaning into all this I would say uh with uh,
• 16:50
  Speaker 1: you know, with more alacrity than than other entities. But yeah,
• 16:56
  Speaker 1: they are. Look, they're used to using technology, right, So
• 17:00
  Speaker 1: every time you drive through the easy path system or something,
• 17:03
  Speaker 1: you know, your your RFID transponder is saying, okay, I'm here,
• 17:08
  Speaker 1: you know, pick up my credit card and charge my toll.
• 17:11
  Speaker 1: So they're used to that. But they so they're they're
• 17:14
  Speaker 1: leaning into they have a lot of modern technology on
• 17:16
  Speaker 1: their roadways, and they're they're and but look, everyone is
• 17:19
  Speaker 1: interested too. You know the Tesla, Kerry, you mentioned to
• 17:22
  Speaker 1: me before before we got on the air here that
• 17:24
  Speaker 1: you drive a Tesla. What people don't realize is how
• 17:27
  Speaker 1: heavy a Tesla could be, right up to five thousand pelles.
• 17:31
  Speaker 1: So when your Tesla breaks down, you can't get a
• 17:33
  Speaker 1: conventional pickup truck to come. You need a flatbed to
• 17:36
  Speaker 1: take that away. Right. So, because our AI knows we
• 17:40
  Speaker 1: look at the roadway and through that video screen, we
• 17:43
  Speaker 1: know if it's a Tesla, we know if it's a
• 17:45
  Speaker 1: BMWY three, we know if it's a Cadillac Lyric. Well,
• 17:49
  Speaker 1: we know if it's a twenty twenty three red Ford
• 17:53
  Speaker 1: one P fifty. Right, an internal combustion engine. Right, So
• 17:57
  Speaker 1: being able to understand and divine this spec specificity of vehicles,
• 18:02
  Speaker 1: whether it's on a tollway or a state Department of transportation,
• 18:06
  Speaker 1: or even if it's on a local, county or city
• 18:09
  Speaker 1: road is really important information and we can provide that
• 18:13
  Speaker 1: once again through the AI.
• 18:15
  Speaker 3: All right, all right, so tell us how we find
• 18:18
  Speaker 3: you and how we connect with you on the web.
• 18:21
  Speaker 1: Yeah, the best way to find Record and it's www
• 18:25
  Speaker 1: dot R e k O R dot AI. That's Record
• 18:30
  Speaker 1: dot AI.
• 18:31
  Speaker 3: And the link is in the show notes of this
• 18:33
  Speaker 3: interview on Financial Survival Network dot com. And hey, we
• 18:38
  Speaker 3: just asked that when you go there you sign up
• 18:40
  Speaker 3: for your free newsletter, and like seventy thousand of you
• 18:45
  Speaker 3: out there have done already. Appreciate you coming on and
• 18:49
  Speaker 3: we will talk again soon when you have your next
• 18:53
  Speaker 3: big innovation out there, Charlie, okay.
• 18:55
  Speaker 1: Well, appreciate the conversation. Kerrie, thanks and have a good day.
• 18:59
  Speaker 2: Thanks for listening. Carry lets this Financial Survival Network your
• 19:03
  Speaker 2: solution to today's trying times. For the latest, go to
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  Speaker 2: Financial Survivalnetwork dot com. Financial Survival Network now more than
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