On this episode of StreetSmart, Streetsblog California editor Damien Newton talks with Marty Beard, CEO of Hayden.AI, about the rapid expansion of automated camera enforcement on buses and city vehicles across California and beyond.
Hayden.AI’s technology uses forward-facing cameras mounted on transit buses and parking enforcement vehicles to identify cars blocking bus lanes, bus stops, and bike lanes. Beard explains how the data has repeatedly surprised cities — revealing widespread violations — and how enforcement has led to faster bus speeds, fewer collisions, and more reliable transit service.
The conversation also explores how camera-based enforcement fits into post-2020 efforts to reduce police traffic stops, addresses common concerns about data privacy and surveillance, and examines why cities see these programs as performance tools rather than revenue generators. Beard also previews emerging uses for the technology, including identifying unpermitted construction that disrupts transit operations.
During the podcast Damien references coverage of Hayden AI at Streetsblog and Santa Monica Next several times. Since Next syndicates Streetsblog's coverage of related issues, you can see all of both publications coverage at Santa Monica Next's page for Hayden AI. A transcript of this podcast can be found below. It has been lightly edited for readability and clarity.
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Damien Newton
So we’re recording this podcast remotely on Zencastr. I’m Damien Newton, and I’m joined today by Marty Beard, CEO of Hayden.AI. Thanks so much for being here.
Marty Beard
Thank you very much for having me.
Damien Newton
I’ll be honest with listeners: in the pre-show I told Marty that Hayden has a lot going on in California right now. Rather than firing off a bunch of narrow questions, I figured it made more sense to let him lay it all out.
We’ve covered some of this work in San Francisco, Los Angeles, and Santa Monica on our local Streetsblog sites, but not as much yet on Streetsblog California. So if you’re not following those city sites, you might not have the full picture.
Marty, why don’t you start by giving us a short overview of what Hayden.AI is and what you’re working on right now?
Marty Beard
That sounds great.
At our core, we’re a technology company — you could call us an AI company, and that’s true — but more importantly, we’re a public transit company. Everything we do is focused 100 percent on improving public transit.
The way we do that is by installing cameras on transit buses, parking enforcement vehicles, and similar fleets, and pairing that hardware with our software. The goal is simple: keep bus lanes clear, keep bike lanes clear, and allow public transit to do what it’s supposed to do.
That’s our entire mission. We don’t do anything outside of that.
We operate across the U.S., internationally, and of course here in California. In California specifically, we work with LA Metro, AC Transit, and cities like Sacramento, Culver City, and Santa Monica. While the locations vary, the common thread is always the same: how can technology help improve bus speed, reduce collisions, and ensure bike lanes are usable?
Damien Newton
Most of the coverage we’ve done has focused on your cameras being installed on buses — and now sometimes on parking enforcement vehicles — to help cities enforce bus lane and bike lane laws without relying on traditional police traffic stops.
Is that a fair way to describe it?
Marty Beard
Yeah, exactly.
Agencies bring us in to do just that. The cameras are installed inside the vehicle — usually a bus — and they’re designed to do one thing only: look ahead at bus lanes, bus stops, and bike lanes, and identify vehicles that are illegally parked or blocking access.
The system does not identify people. It doesn’t analyze broader traffic patterns. It’s optimized for a very narrow task: identifying a vehicle obstructing transit infrastructure.
When a violation is detected, an image or short clip of the vehicle is captured. That information is then reviewed by the appropriate enforcement agency, which makes the final decision about whether a citation is issued.
The benefit is that it’s extremely efficient, very accurate, and — most importantly — it works.
Damien Newton
I covered the Santa Monica pilot when that report came out, and we used the phrase “an epidemic of scofflaws” in the headline because the numbers were pretty staggering.
This was along just seven bus routes, over a short pilot period, and the number of vehicles blocking bus and bike lanes was astronomical.
Are you seeing similar results elsewhere — that moment of “wow, this is happening all the time”?
Marty Beard
One hundred percent.
There are two things that happen almost universally. First, agencies are surprised by the sheer volume of violations. They know it’s a problem, but once they start seeing daily, route-by-route data, the scale becomes undeniable.
The second thing is what happens after the data starts coming in over time. Agencies can look at trends and ask: are we changing behavior?
And the answer is yes. Bus speeds improve, collisions go down, on-time performance gets better. In some cases, the improvements are dramatic — we’ve seen 20 percent or more increases in bus speeds on certain routes.
That network effect is huge.
So first it’s “Wow, this problem is worse than we thought,” and then it’s “Wow, this is actually working.”
Damien Newton
I imagine timing plays a role here too. After 2020 and the George Floyd protests, there was a push to reduce police interactions for minor infractions, including traffic enforcement.
A lot of these so-called nuisance laws just weren’t being enforced anymore. So now you have a way to enforce them without those interactions — and maybe also correct some bad habits people picked up along the way.
Does that sound right?
Marty Beard
I think you nailed it.
It’s also safer for enforcement staff. Parking enforcement is a tough job — you’re not exactly the most popular person in the neighborhood.
Technology helps because it’s consistent and focused. There’s this perception sometimes that cameras are spying on everything, but that’s really not what this is.
The camera is optimized for one specific task: is a vehicle where it shouldn’t be? If there’s a legitimate reason for that vehicle to be there, the citation won’t be enforced.
But if someone blocks a bus lane to grab a latte and 45 people can’t board the bus, that’s a real problem. This helps address that.
Damien Newton
Last week, our Streetsblog Los Angeles editor noticed something interesting during a SCAG presentation. LA Metro quietly announced plans to expand its AI camera program from 100 cameras to 400.
No details beyond a slide. Can you tell us anything about that, or do I need to bug Metro’s PR team?
Marty Beard
You’ll need to ask LA Metro directly.
What I can say is that we love working with them, and the results speak for themselves. But it’s best for them to talk about their plans.
Damien Newton
They were one of your first major transit agency partners, right?
Marty Beard
Yes, absolutely. Along with places like New York, Chicago, and Washington, D.C., LA Metro has been an anchor customer for us.
Damien Newton
I just want to note for listeners: those are also all cities with Streetsblog sites — purely coincidental, I’m sure.
Are you in Boston too?
Marty Beard
I can’t comment on that one.
But yes, we do follow Streetsblog very closely — clearly our expansion strategy.
Damien Newton
We’re eyeing San Diego for a Streetsblog site in the next year or two, so keep that in mind.
Marty Beard
That’s actually where I live.
Damien Newton
Well, there you go — I had no idea.
Marty Beard
The company’s headquartered in the Bay Area, but we’re spread across California and the East Coast.
Damien Newton
Welcome to 2026 — we don’t all have to be in the same city anymore.
Are there any other expansions or developments you can talk about?
Marty Beard
What I can say is that we’ve passed 2,100 installations, and every market we’re in is expanding.
We’re also seeing growing interest beyond bus lanes — particularly bike lanes and parking enforcement vehicles, like in Santa Monica.
And we’re starting to look at new use cases: where else can this kind of focused, privacy-respecting technology help public transit?
Damien Newton
Cities do generate some revenue from this, but as I understand it, that’s not the primary goal. The goal is improving bus speed and bike lane reliability.
I’d guess transit riders and cyclists are overwhelmingly supportive, while drivers are more skeptical.
Marty Beard
Our biggest supporters are transit riders and cyclists, by far.
What surprised me when I entered this space is how little agencies focus on revenue. What they care about is performance: speed, reliability, safety.
As a vendor, that means you have to prove it works — and show the data.
Damien Newton
I don’t bike as much anymore, but just walking or running along corridors in Santa Monica where the cameras are installed, things feel noticeably calmer.
Less honking, fewer blocked lanes. It’s tangible.
Marty Beard
We see that reflected in the data as well.
Damien Newton
One concern that always comes up with camera technology is data privacy — especially with fears about data being shared beyond its original purpose.
So what happens to the data you collect? Who owns it? Who can access it?
Marty Beard
It’s a completely valid concern.
Hayden does not own the data. The transit agencies do.
We only collect the violation itself — typically a short video clip or still image of a vehicle obstructing a bus lane, bus stop, or bike lane. No facial recognition. No human identification. Nothing beyond that.
The data is captured on the vehicle and sent to the enforcement agency, which makes the final decision. We don’t issue tickets.
If a government agency asked us for broad location data, we wouldn’t even have it.
Damien Newton
Before we wrap up — is there anything we didn’t cover that you want to mention?
Marty Beard
One emerging area is road construction.
Cities want to know: is construction permitted? Is it happening where it’s supposed to? Is it unexpectedly blocking transit?
Our cameras are starting to help identify unpermitted or unplanned obstructions so agencies can respond more quickly.
Damien Newton
So the cameras are catching unpermitted construction?
Marty Beard
Exactly. It’s a newer area, but one that could really benefit transit riders.
Damien Newton
That’s fascinating — not something I’d even thought of.
Marty, thanks so much for your time. Next time I’m in San Diego, I’ll reach out and we’ll grab coffee.
Marty Beard
Sounds great. Thanks again.
