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Not Just License Plates: They’re Going to Track So Much More

10:101,007 summary words · ~5 min readEnglishTranscribed Jun 24, 2026
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Summary

Next-generation automatic license plate readers (ALPRs) are integrating radio-frequency sensors to harvest unique digital identifiers from passenger devices, including Bluetooth, Wi-Fi, TPMS, and RFID signals.

This technology bridges the gap between vehicle tracking and personal tracking, allowing operators to construct persistent, un-encryptable 'patterns of life' of individuals across both public roads and pedestrian-heavy spaces.

Section summaries

0:00-1:00

The Evolution of Municipal Surveillance

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Leato introduces the concept of Flock cameras and automatic license plate readers (ALPRs), addressing the common passive attitude of citizens towards vehicular tracking. He highlights how these optical cameras serve as the initial entry point for a broader, inescapable municipal surveillance dragnet.

  • Optical ALPR systems like Flock cameras are already widely deployed by local municipalities.
  • The passivity of the public towards vehicular tracking facilitates the incremental expansion of surveillance infrastructure.

This section serves as an introductory primer on existing ALPR systems and general privacy concerns.

1:00-2:00

Introducing Signal Trace

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Leato breaks down an article by Adam Ismail on thedrive.com revealing a new defense contractor product called 'Signal Trace'. This hardware upgrades standard ALPR units with specialized RF sensors designed to scrape unique hardware identifiers from smart devices inside passing cars.

  • Signal Trace integrates radio frequency harvesting into existing optical license plate reading cameras.
  • The system aims to map a physical car's license plate directly to the unique digital signatures of its occupants.

This details the specific mechanics of the newly introduced RF scraping surveillance hardware.

2:00-3:00

The Scope of Device Harvesting

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Pointing to a 404 Media investigation, Leato details the specific signals targeted, including Bluetooth, 5G hotspots, tire pressure monitoring sensors (TPMS), and even veterinary pet microchips. This allows law enforcement and border security to correlate high-resolution camera footage with local RF emissions.

  • Targeted signals extend beyond smartphones to include wearables, TPMS, and RFID-enabled items.
  • Correlating physical imagery with ambient RF signatures allows for immediate, automated occupant identification.

This contains the precise list of consumer hardware and signals vulnerable to this system.

3:00-4:00

The Metadata Loophole

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Explaining how the surveillance company secured patents two years ago, Leato highlights their legal defense: the technology only captures ambient RF signatures emitted into the air and does not decrypt or read communication content. This allows these companies to bypass wiretapping laws while still constructing highly accurate 'pattern of life' tracking.

  • Surveillance companies evade wiretapping liabilities by harvesting unencrypted broadcast metadata rather than actual payloads.
  • The Electronic Frontier Foundation (EFF) warns that persistent metadata collection is sufficient to map complete patterns of life and social associations.

This segment is critical for understanding the legal and regulatory workarounds used by modern surveillance states.

4:00-5:00

Surveillance Outside the Vehicle

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Leato uncovers a critical detail in the manufacturer's press release stating the technology is effective for off-road zones like rail stations and shopping centers. This reveals that the tracking devices are modular and can be deployed in pedestrian spaces, entirely independent of vehicles or roadways.

  • The technology is designed to be modular and deployable in non-vehicular pedestrian hubs.
  • Deployments in malls or transit centers mean individuals cannot opt-out of tracking simply by not driving.

This reveals that the surveillance apparatus is expanding into physical pedestrian infrastructure.

5:00-7:00

Patent Ambiguity vs. Real-World Deployment

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While acknowledging that patents are written as broadly as possible to capture future monetization, Leato argues that the commercial incentives point toward standalone pedestrian tracking systems. This allows private properties and local governments to gather continuous physical location data without relying on car registration.

  • Patent filings often exaggerate technical limits, but they accurately reflect the manufacturer's long-term commercial roadmap.
  • The detachment of RF harvesting from optical plate reading enables tracking of individuals in privately owned, semi-public commercial spaces.

This section frames the practical limits of patents vs. commercial reality.

7:00-8:00

The Potential for Personal Abuse

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Leato discusses the inherent risks of unchecked surveillance databases, citing common real-world instances of domestic stalking and harassment by law enforcement officers abusing access to vehicle tracking databases. He emphasizes that municipal databases are rarely secured against internal bad actors.

  • Surveillance infrastructure is highly vulnerable to internal abuse by authorized operators, such as personal stalking.
  • The scale of localized database abuse remains a persistent risk in municipal surveillance contracts.

This focuses on well-known personal abuse patterns of public databases rather than the new technology itself.

8:00-9:00

Commercial Monetization and Targeted Ads

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Transitioning from government surveillance to commercial exploitation, Leato warns that these localized tracking profiles will inevitably feed into real-time, physical targeted advertising systems. Drivers and pedestrians will receive immediate, highly specific commercial outreach based on physical proximity.

  • Municipal and private surveillance data will likely integrate with commercial data brokers for hyper-localized real-time marketing.
  • Physical proximity tracking lowers the barrier for intrusive, location-based advertising campaigns.

Explains how this hardware overlaps with commercial marketing incentives.

9:00-10:00

Countermeasures at the Local Level

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Leato outlines the single viable path to pushing back against this infrastructure: attending local town, village, and city council meetings where these budgets and contracts are debated. He emphasizes that local officials are highly sensitive to constituent backlash on privacy issues and can be held accountable at the ballot box.

  • Municipal procurement of surveillance technology must typically clear public city council approval.
  • Targeted public opposition at the local level has successfully forced councils to reject ALPR and RF tracking contracts.

This is the primary call to action, offering concrete pathways for civic resistance.

Key points

  • RF Signature Aggregation via Signal Trace — The defense-contracted technology 'Signal Trace' combines optical license plate readers with radio-frequency sensors to capture ambient, unencrypted hardware signatures (MAC addresses, Bluetooth, TPMS) emitted by smart devices inside passing vehicles.
  • The Metadata Wiretapping Loophole — By capturing only the physical presence and unique identifier signatures of radio frequencies rather than decrypting or reading the content of the communications, surveillance firms evade wiretapping laws and legal liabilities.
  • Non-Vehicular Pedestrian Surveillance — Patent documentation reveals that these RF harvesting devices are modular and effective for use in pedestrian hubs like rail stations and shopping centers, independent of any vehicular tracking.
“The goal here, as 404 points out, is to bridge the gap between vehicle and occupant.” — Steve Leato
“Whether they're cracking encryption or not, the results are the same.” — Steve Leato

AI-generated from the transcript. May contain errors.

0:00

Welcome once again to Leato's Law.

0:02

Here's Steve Leato.

0:04

>> The surveillance state is expanding. A

0:06

lot of people sent me this story and

0:07

I've talked before about, for instance,

0:09

flock cameras. Flock cameras, the

0:11

cameras that are just out there and they

0:13

record cars they go by and they make a

0:14

note of what type of car it is and the

0:16

license plate on the car. And some

0:18

people say, you know, who cares if

0:19

they're just recording when I drive by

0:21

in my car? And I pointed out that my

0:23

primary concern is that it's just one

0:25

step down that long road towards the

0:28

complete surveillance state which we

0:30

don't want to live in where everything

0:32

we do is tracked by somebody else. So a

0:35

lot of people sent me a story and said

0:37

Steve check this out and it's been

0:38

widely reported. The version I've got

0:40

here from the drive.com license plate

0:42

cameras will soon track phones,

0:45

wearables, infotainment, and possibly

0:47

even your pets. So, Adam Ismail wrote

0:51

this and it's a new kind of license

0:52

plate reading camera that will also

0:55

scrape the smart devices that you have

0:57

with you and wrap all that data into a

1:01

nice little bow for law enforcement and

1:03

the government. So, if data brokers can

1:05

track the devices you take with you,

1:06

they know where you live, where you go,

1:08

and what you do. And the stakes are only

1:10

poised to climb higher now that

1:12

surveillance companies that sell

1:13

automatic license plate readers are

1:15

getting in on the game. So, defense

1:18

contractor is promoting a new technology

1:20

called signal trace that will package

1:23

plate cameras with sensors that can

1:24

scrape unique identifiers tied to your

1:27

smart devices and make that data

1:29

available to law enforcement. So, here's

1:32

the car and and here's what's in the

1:35

car. A recent report by 404 media dives

1:39

into the objective of this business and

1:42

this uh product and how it's being

1:44

marketed to authorities. Police, border

1:47

security, and other government agencies

1:48

already comprise the customer base of

1:51

the company. And with this technology,

1:53

those clients seek to correlate footage

1:55

from these cameras to phones, tablets,

1:57

wearables, Air Tags, and naturally the

2:00

electronics inside cars themselves. If

2:03

uh this can pick up your Bluetooth

2:05

headphones, you can be damn sure it'll

2:07

also be able to look out for your

2:08

vehicle's 5G hotspot, your infotainment

2:12

system, and even tire pressure

2:14

monitoring sensors. Like we talked about

2:16

smart tires coming to your cars. Uh

2:19

maybe they can pick that up, too. The

2:21

company includes pet microchips as a

2:23

potential entry point to tracking. And

2:25

by the way, this is a lot of the the

2:28

information here is coming from a press

2:31

release issued by the company itself. So

2:33

I'll get to that in a moment.

2:36

The goal here, as 404 points out, is to

2:39

bridge the gap between vehicle and

2:41

occupant. Previously, the cameras

2:44

tracked the car's whereabouts, but you

2:47

throw in a glut of unique identifiers,

2:48

and the job of tying an individual or

2:51

particular people to that vehicle

2:53

becomes trivial and not something that

2:55

you can opt out of. Of course, the

2:58

license plate readers were already bad

3:00

news as the EFF found that the simple

3:03

act of repeatedly capturing photos of

3:05

cars and transit at multiple points in

3:06

their journeys day in and day out was

3:09

enough to establish someone's pattern of

3:11

life and even identify those they

3:13

associate with. So, the company was

3:16

granted a patent for the technology that

3:18

underpins this process. And it happened

3:22

two years ago. A press release

3:24

announcing the milestone concludes with

3:26

a disclaimer that the company's tech

3:28

captures device frequencies emitted into

3:30

the air and does not decrypt or capture

3:33

the contents of the devices or their

3:35

communications. So they're saying,

3:36

"Look, we're not going to be able to

3:38

hear what you're saying on the phone.

3:40

It's just the presence of the phone." So

3:42

that's precisely these firms are able to

3:44

evade culpability for their

3:46

surveillance. Whether they're cracking

3:47

encryption or not, the results are the

3:49

same. So, from the press release that

3:52

was issued after the patent was granted,

3:55

the company refers to his groundbreaking

3:57

software technology and uh it's an

4:00

electronic detection system designed to

4:02

help law enforcement identify people of

4:04

interest by the signatures their

4:06

electronic devices emit such as fitness

4:09

trackers, RFID tags, and local signals

4:12

from mobile phones. And one sentence

4:16

that I spotted that I'm not sure anybody

4:18

else caught or really focused on is that

4:20

down towards the bottom of the press

4:22

release, there's some bullet points and

4:24

it goes features and benefits of this

4:27

system. And the bottom one is effective

4:31

for use in off-road areas such as rail

4:36

stations and shopping centers.

4:39

Now,

4:41

the reason that gets my attention is

4:43

that there's large areas within rail

4:45

stations and large areas within shopping

4:48

centers

4:50

where there are not going to be license

4:51

plate readers.

4:53

So, the implication here is that this is

4:56

not just tied to license plate readers.

4:58

I don't think it sounds to me like

5:00

they're saying, "Well, look, our

5:01

technology can be deployed all over the

5:03

place. Wherever there are people that

5:06

law enforcement might want to track, we

5:09

can track them. And whether it involves

5:12

a car or license plate, no. So, whatever

5:15

these devices are going to wind up

5:16

looking like, they might be tied to a

5:19

license plate reader, they might not be.

5:21

And so if you're walking through a

5:22

shopping center, like say a mall, if

5:24

those exist in the future,

5:27

uh you're walking through a mall and on

5:29

you you've got your wearable devices,

5:32

your cell phone, whatever else you might

5:34

have, uh if you've been chipped by your

5:36

owner, um

5:40

they they they can pick that stuff up,

5:42

too. Now, what it'll be tied to because

5:44

it won't be tied to a car, I don't know.

5:47

But suddenly you realize that this

5:49

technology does not have to be tied to a

5:53

license plate reader. Now, of course, if

5:55

it's tied to a license plate reader and

5:56

they take all this data and associate it

6:00

with this car, that's a great, you know,

6:03

point where you can file all the

6:04

information, but it sounds to me like

6:07

they're already thinking. And don't get

6:09

me wrong, patents often include the most

6:12

expansive thinking you've ever seen. So,

6:15

if a company patents an invention and

6:17

they list all of the things it can do,

6:19

they'll often throw in a bunch of stuff

6:20

that it may or may not ever be able to

6:22

do, but they're covering themselves. I

6:24

understand that. However, here it very

6:27

well could be that they're going to say,

6:29

"Well, we'll have the license plate

6:31

readers that also pick up all this extra

6:33

information tied to license plate." But

6:35

if somebody really wants to, they can

6:38

get the reader without the license plate

6:39

portion of it and we'll stick it in a

6:41

mall or a train station or someplace

6:44

where people congregate and that way we

6:48

can track all the information about

6:49

somebody uh and it wouldn't necessarily

6:51

be tied to a car, but we'd have the

6:52

information anyway. So, uh I am deeply

6:56

concerned. I'm a big advocate for

6:58

privacy. Um, and I know there are people

7:01

out there go, "But Steve, if this stuff

7:03

makes us safer, if this stuff makes us

7:05

safer, and you got to you got to always

7:07

ask yourself, you know, about the things

7:09

that can go wrong. What what what could

7:12

go wrong? I don't have to say what could

7:13

possibly go wrong. We can see what can

7:15

go wrong here. And we've had the

7:16

stories. We've had the stories about,

7:17

for instance, the police officer who's

7:20

got a crush on a woman or or or maybe

7:23

they were dating, but she decided to

7:24

stop dating him. And he's kind of

7:26

wondering, I wonder what she's doing

7:28

tonight.

7:30

Great song, by the way. And and instead

7:32

of just thinking about it, listening to

7:34

a song by Boyce and Hart, he decides to

7:37

figure it out. I wonder what she's doing

7:38

tonight. I can go look it up. See if her

7:40

plates have popped up on those license

7:42

plate readers. Oh, she's over here.

7:44

She's over there. Oh my gosh, her car

7:46

goes over there. That's where the other

7:47

guy lives.

7:49

And so the abuse is, and by the way,

7:52

that's that's a trivial abuse compared

7:54

to the other stuff's out there. But

7:56

that's something people can relate to

7:57

because they understand that, oh,

8:00

if they can do that, what else can they

8:01

do? Oh, they can do all kinds of stuff.

8:03

So, I'm not a fan of the license plate

8:06

readers. I'm not a fan of this

8:08

technology. And I'm concerned that as we

8:13

go about our lives in the future, more

8:15

and more we're going to be tracked,

8:16

observed,

8:18

and it's not just law enforcement. It's

8:21

not going to be just law enforcement.

8:23

Uh, we're going to start getting like

8:25

targeted ads, which we've already been

8:27

getting, but we're going be getting them

8:29

based on where we go. So, you're going

8:31

to drive someplace and drive past a

8:33

store and later on that afternoon you

8:35

get an ad from that store saying, "Hey,

8:37

next time you drive by, swing in and buy

8:39

something." What are the odds that I got

8:40

that the day I drove by the store? What

8:42

are the odds? Oh,

8:44

wasn't a coincidence. It was just very

8:47

very specific marketing. And and that

8:49

that is going to happen. That will

8:51

happen. Uh uh and I know it's already

8:53

happening on some level. It's going to

8:54

get worse. And so

8:57

I'm not sure what we can do about this

9:00

other than when you hear that your local

9:03

municipality, town, village, city,

9:04

whatever it might be where you live,

9:06

when they start discussing bringing in

9:08

this kind of equipment to track the

9:10

citizens,

9:12

uh if you're concerned, perhaps show up

9:14

at one of those public meetings and

9:16

speak your mind because I've now seen

9:19

examples where people have discussed

9:21

bringing in the automatic license plate

9:23

readers and enough people showed up at a

9:25

meeting to say, "No, we do not want

9:27

these. We do not want these." And

9:29

remember,

9:31

those people on the council are people

9:32

that you can vote for or not vote for.

9:35

And so, they should be willing to listen

9:38

to you if you are in fact constituent.

9:41

So, that's where this actually needs to

9:44

be fixed at the ballot box. So, the

9:46

drive.com ran that story. Adam Ismail

9:48

wrote it. Great story. License plate

9:50

cameras will soon track phones,

9:52

wearables, infotainment, and even your

9:55

pets if they've been shipped. Questions

9:57

or comments, put them below. Let's talk

9:58

to you later. Bye-bye.

10:00

>> Thank you for watching Leato's Law. If

10:02

you think nobody cares about you, try

10:05

missing a couple of payments.

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