Tag Archives: cameras

MIT to Become Hotbed of AI Video Surveillance

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/07/mit-to-become-hotbed-of-ai-video-surveillance.html

It’s a lot:

According to information obtained by The Tech, MIT is spending over $3 million on more than 500 AI surveillance cameras in academic buildings, residence halls, and outdoor areas along Memorial Drive. Installation of the new cameras, along with the wiring and infrastructure that will support them, began November 2025 and will likely continue until September 2026.

Technical specifications for the cameras suggest that they will be capable of collecting real-time face and object classification data, including detection of motion, loitering, crowds, face masks, and camera tampering. Individuals can also be automatically classified on the basis of clothing color, gender, and age, up to a distance of 35 feet (11 meters) from the camera. According to a statement from MIT spokesperson Kimberly Allen, any collected data is “retained up to 30 days,” unless an exception is granted.

[…]

Most of the new cameras, which are part of Hanwha’s Wisenet AI line, are marketed for their ability to identify and classify multiple objects with deep learning algorithms. They support resolutions ranging from 2MP to 4K while also recognizing faces, license plates, vehicles, and other objects in real time.

Nearly all cameras will accommodate a wide range of pan, tilt, rotate, and zoom motion and will be monitored continually with Ai-RGUS, an AI camera software.

Yikes.

On Flock License Plate Tracking Cameras

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/07/on-flock-license-plate-tracking-cameras.html

A recent story of a writer who was mistakenly identified, tracked, and arrested using data from Flock cameras has gone viral.

The New Jersey plates that were allegedly stolen from the LA dealer were 34 03 DTM, not 34 10 DTM. But when the police report was created and the plate was entered into Flock’s system, it was just recorded as 34 DTM. Just the five large characters, no little number in the middle. And Flock’s AI tech wasn’t registering that non-standard little number when it began picking up the Range Rover around town. It just saw 34 DTM in large type and started alerting the local police.

As we all stood there shaking our heads, including my wife, who was finally allowed to join me, I connected the final dot. A lot of vehicles in JLR’s media fleet have a New Jersey manufacturer plate with the same alphanumeric structure­34 ## DTM­and Officer Ganshyn observed that meant it was now a nationwide issue. Anywhere a police department has a partnership with Flock, any other JLR-owned car with the same plate structure is going to get flagged as stolen. In fact, four other 34 ## DTM cars were being tracked around Minnesota that week, according to Officer Ganshyn. I was just the first one to get nabbed. The only way to stop it would be for the LAPD to correct their initial report and update Flock’s system, which Jaguar Land Rover was now racing to make happen following the phone call.

Flock has responded to the bad press. First, they affirmed that their systems were working correctly, and blamed the police:

The obvious question was that Flock cameras were looking for 34 DTM, and the plate on the car I was driving was 34 10 DTM. Why was that flagged as a match?

“The way that the ML [machine learning] works is it correctly read what it was supposed to read. It was fed those characters that you said, 34 DTM, and it spit back out [a result] with the characters, 34 DTM,” Thomas said. “It was asked, can you find this? And it did find that. It just didn’t say if there’s more here, then don’t do it. It just simply said, is it there? And the answer was yes.”

He explained that even if the 10 was normal size, Flock would still have flagged it as a match, because that’s how they’ve set it up according to law enforcement’s requests. Sometimes partial plates are all they have to go on at first.

“The way that law enforcement likes to use these tools is, if any of the characters that they have put into these hot lists get read, they want to get those alerts,” he said. “Now, what we try to train officers to do is to do what you said, which is to verify that 34 DTM is what I’m looking for, and what I’m seeing is 34 10 DTM.”

Second, Flock’s CEO has apologized for calling privacy advocates terrorists:

The CEO of Flock Safety, the company that runs an enormous network of cameras used by police departments across the U.S., hasn’t been shy about taking on Flock’s critics. Last year, he even called one group that tracks the location of Flock cameras “terrorists.” But he’s had a change of heart. Or, at the very least, a change in PR strategy.

Meanwhile, the police are using (alternate source) the Flock camera network to track people in addition to cars:

Police departments around the country have used Flock cameras at least hundreds of times to search for specific people, not cars, using searches such as “heavy-set male with a black and white hat,” “person on skateboard,” and “person wearing orange vest and construction hat,” according to data reviewed by 404 Media. Sometimes searches reference a target’s race or signs of their political affiliation.

And, like all police surveillance technologies, there are abuses.

A Video Screen That Is Also a Camera

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/07/a-video-screen-that-is-also-a-camera.html

Amazing:

Researchers from ETH Zurich in Switzerland, however, managed to create a new type of pixel that can simultaneously do both. This hypercharged pixel, called a Fourier pixel, can generate and sense arbitrary light fields and tap into a pixel’s full potential for carrying information by manipulating light’s intensity, oscillation phases, and polarization. The team reported its findings in a paper published yesterday in Nature.

We are one step closer to 1984 technology:

The telescreen received and transmitted simultaneously. Any sound that Winston made, above the level of a very low whisper, would be picked up by it; moreover, so long as he remained within the field of vision which the metal plaque commanded, he could be seen as well as heard. There was of course no way of knowing whether you were being watched at any given moment.

Paper.

Flock Cameras Can Surveil Cars Without License Plates

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/07/flock-cameras-can-surveil-cars-without-license-plates.html

This is from a 2024 company presentation:

Officers can also tap into data showing a car’s decals, bumper stickers, back and top racks—along with temporary and unique state tags.

Flock calls it a “Vehicle Fingerprint” and it’s touted as a way for law enforcement officials to get more information “even when you don’t have full plate information,” the company’s presentation shows.

The company gives police officers the ability to search that data as well, to “build stronger cases with less information upfront.” That includes being able to locate multiple vehicles law enforcement officials believe are moving together and what Flock calls a “multi geo search.”

This kind of thing is older than AI; I wrote about it in my 2014 book Beyond Fear. Edward Snowden revealed that the NSA was using cell phone location data to track phones that were habitually near each other.

As bad as Flock is, remember that anyone with broad access to cell phone location data can do the same thing.

The Realities of AI Video Surveillance

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/06/the-realities-of-ai-video-surveillance.html

The Financial Times has a good article on how AI is changing the capabilities of video surveillance, with information from both Israel/Iran and Russia.

I wrote about this sort of thing a few years ago, how AI enables mass spying in the way that computers and networks enabled mass surveillance. The interesting development in the article is that AI allows people to ask natural language questions about video footage to AIs—and AIs can answer them.

In contrast with older tools restricted to a few dozen preset searches, these new tools allow an almost unlimited range of enquiries by enabling language-based searches on video.

That lets intelligence officers hunt through massive streams of videos using simple search terms, such as two men handing a bag to each other; a person who has changed their appearance, or has changed clothes multiple times in a day; or a vehicle that has recently been painted over, or has driven past the same spot several times in a short period.

“This is the holy grail of surveillance,” said a European official whose country uses the technology on its cities. “We are able to look for behaviour, not objects ­ it has created a world of new possibilities.”

Apple’s Camera Indicator Lights

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/03/apples-camera-indicator-lights.html

A thoughtful review of Apple’s system to alert users that the camera is on. It’s really well-designed, and important in a world where malware could surreptitiously start recording.

The reason it’s tempting to think that a dedicated camera indicator light is more secure than an on-display indicator is the fact that hardware is generally more secure than software, because it’s harder to tamper with. With hardware, a dedicated hardware indicator light can be connected to the camera hardware such that if the camera is accessed, the light must turn on, with no way for software running on the device, no matter its privileges, to change that. With an indicator light that is rendered on the display, it’s not foolish to worry that malicious software, with sufficient privileges, could draw over the pixels on the display where the camera indicator is rendered, disguising that the camera is in use.

If this were implemented simplistically, that concern would be completely valid. But Apple’s implementation of this is far from simplistic.

Israel Hacked Traffic Cameras in Iran

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/03/israel-hacked-traffic-cameras-in-iran.html

Multiple news outlets are reporting on Israel’s hacking of Iranian traffic cameras and how they assisted with the killing of that country’s leadership.

The New York Times has an on the intelligence operation more generally.

Flock Exposes Its AI-Enabled Surveillance Cameras

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2026/01/flock-exposes-its-ai-enabled-surveillance-cameras.html

404 Media has the story:

Unlike many of Flock’s cameras, which are designed to capture license plates as people drive by, Flock’s Condor cameras are pan-tilt-zoom (PTZ) cameras designed to record and track people, not vehicles. Condor cameras can be set to automatically zoom in on people’s faces as they walk through a parking lot, down a public street, or play on a playground, or they can be controlled manually, according to marketing material on Flock’s website. We watched Condor cameras zoom in on a woman walking her dog on a bike path in suburban Atlanta; a camera followed a man walking through a Macy’s parking lot in Bakersfield; surveil children swinging on a swingset at a playground; and film high-res video of people sitting at a stoplight in traffic. In one case, we were able to watch a man rollerblade down Brookhaven, Georgia’s Peachtree Creek Greenway bike path. The Flock camera zoomed in on him and tracked him as he rolled past. Minutes later, he showed up on another exposed camera livestream further down the bike path. The camera’s resolution was good enough that we were able to see that, when he stopped beneath one of the cameras, he was watching rollerblading videos on his phone.

Flok License Plate Surveillance

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2025/10/flok-license-plate-surveillance.html

The company Flok is surveilling us as we drive:

A retired veteran named Lee Schmidt wanted to know how often Norfolk, Virginia’s 176 Flock Safety automated license-plate-reader cameras were tracking him. The answer, according to a U.S. District Court lawsuit filed in September, was more than four times a day, or 526 times from mid-February to early July. No, there’s no warrant out for Schmidt’s arrest, nor is there a warrant for Schmidt’s co-plaintiff, Crystal Arrington, whom the system tagged 849 times in roughly the same period.

You might think this sounds like it violates the Fourth Amendment, which protects American citizens from unreasonable searches and seizures without probable cause. Well, so does the American Civil Liberties Union. Norfolk, Virginia Judge Jamilah LeCruise also agrees, and in 2024 she ruled that plate-reader data obtained without a search warrant couldn’t be used against a defendant in a robbery case.

Self-Driving Car Video Footage

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2025/06/self-driving-car-video-footage.html

Two articles crossed my path recently. First, a discussion of all the video Waymo has from outside its cars: in this case related to the LA protests. Second, a discussion of all the video Tesla has from inside its cars.

Lots of things are collecting lots of video of lots of other things. How and under what rules that video is used and reused will be a continuing source of debate.

Casino Players Using Hidden Cameras for Cheating

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2024/12/casino-players-using-hidden-cameras-for-cheating.html

The basic strategy is to place a device with a hidden camera in a position to capture normally hidden card values, which are interpreted by an accomplice off-site and fed back to the player via a hidden microphone. Miniaturization is making these devices harder to detect. Presumably AI will soon obviate the need for an accomplice.

Power LED Side-Channel Attack

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2023/06/power-led-side-channel-attack.html

This is a clever new side-channel attack:

The first attack uses an Internet-connected surveillance camera to take a high-speed video of the power LED on a smart card reader­—or of an attached peripheral device—­during cryptographic operations. This technique allowed the researchers to pull a 256-bit ECDSA key off the same government-approved smart card used in Minerva. The other allowed the researchers to recover the private SIKE key of a Samsung Galaxy S8 phone by training the camera of an iPhone 13 on the power LED of a USB speaker connected to the handset, in a similar way to how Hertzbleed pulled SIKE keys off Intel and AMD CPUs.

There are lots of limitations:

When the camera is 60 feet away, the room lights must be turned off, but they can be turned on if the surveillance camera is at a distance of about 6 feet. (An attacker can also use an iPhone to record the smart card reader power LED.) The video must be captured for 65 minutes, during which the reader must constantly perform the operation.

[…]

The attack assumes there is an existing side channel that leaks power consumption, timing, or other physical manifestations of the device as it performs a cryptographic operation.

So don’t expect this attack to be recovering keys in the real world anytime soon. But, still, really nice work.

More details from the researchers.

Security Vulnerabilities in Eufy Cameras

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2022/12/security-vulnerabilities-in-eufy-cameras.html

Eufy cameras claim to be local only, but upload data to the cloud. The company is basically lying to reporters, despite being shown evidence to the contrary. The company’s behavior is so egregious that ReviewGeek is no longer recommending them.

This will be interesting to watch. If Eufy can ignore security researchers and the press without there being any repercussions in the market, others will follow suit. And we will lose public shaming as an incentive to improve security.

Update:

After further testing, we’re not seeing the VLC streams begin based solely on the camera detecting motion. We’re not sure if that’s a change since yesterday or something I got wrong in our initial report. It does appear that Eufy is making changes—it appears to have removed access to the method we were using to get the address of our streams, although an address we already obtained is still working.

Recovering Passwords by Measuring Residual Heat

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2022/10/recovering-passwords-by-measuring-residual-heat.html

Researchers have used thermal cameras and ML guessing techniques to recover passwords from measuring the residual heat left by fingers on keyboards. From the abstract:

We detail the implementation of ThermoSecure and make a dataset of 1,500 thermal images of keyboards with heat traces resulting from input publicly available. Our first study shows that ThermoSecure successfully attacks 6-symbol, 8-symbol, 12-symbol, and 16-symbol passwords with an average accuracy of 92%, 80%, 71%, and 55% respectively, and even higher accuracy when thermal images are taken within 30 seconds. We found that typing behavior significantly impacts vulnerability to thermal attacks, where hunt-and-peck typists are more vulnerable than fast typists (92% vs 83% thermal attack success if performed within 30 seconds). The second study showed that the keycaps material has a statistically significant effect on the effectiveness of thermal attacks: ABS keycaps retain the thermal trace of users presses for a longer period of time, making them more vulnerable to thermal attacks, with a 52% average attack accuracy compared to 14% for keyboards with PBT keycaps.

“ABS” is Acrylonitrile Butadiene Styrene, which some keys are made of. Others are made of Polybutylene Terephthalate (PBT). PBT keys are less vulnerable.

But, honestly, if someone can train a camera at your keyboard, you have bigger problems.

News article.

Ring Gives Videos to Police without a Warrant or User Consent

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2022/08/ring-gives-videos-to-police-without-a-warrant-or-user-consent.html

Amazon has revealed that it gives police videos from its Ring doorbells without a warrant and without user consent.

Ring recently revealed how often the answer to that question has been yes. The Amazon company responded to an inquiry from US Senator Ed Markey (D-Mass.), confirming that there have been 11 cases in 2022 where Ring complied with police “emergency” requests. In each case, Ring handed over private recordings, including video and audio, without letting users know that police had access to—and potentially downloaded—their data. This raises many concerns about increased police reliance on private surveillance, a practice that has long gone unregulated.

EFF writes:

Police are not the customers for Ring; the people who buy the devices are the customers. But Amazon’s long-standing relationships with police blur that line. For example, in the past Amazon has given coaching to police to tell residents to install the Ring app and purchase cameras for their homes—­an arrangement that made salespeople out of the police force. The LAPD launched an investigation into how Ring provided free devices to officers when people used their discount codes to purchase cameras.

Ring, like other surveillance companies that sell directly to the general public, continues to provide free services to the police, even though they don’t have to. Ring could build a device, sold straight to residents, that ensures police come to the user’s door if they are interested in footage—­but Ring instead has decided it would rather continue making money from residents while providing services to police.

CNet has a good explainer.

Slashdot thread.

San Francisco Police Want Real-Time Access to Private Surveillance Cameras

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2022/07/san-francisco-police-want-real-time-access-to-private-surveillance-cameras.html

Surely no one could have predicted this:

The new proposal—championed by Mayor London Breed after November’s wild weekend of orchestrated burglaries and theft in the San Francisco Bay Area—would authorize the police department to use non-city-owned security cameras and camera networks to live monitor “significant events with public safety concerns” and ongoing felony or misdemeanor violations.

Currently, the police can only request historical footage from private cameras related to specific times and locations, rather than blanket monitoring. Mayor Breed also complained the police can only use real-time feeds in emergencies involving “imminent danger of death or serious physical injury.”

If approved, the draft ordinance would also allow SFPD to collect historical video footage to help conduct criminal investigations and those related to officer misconduct. The draft law currently stands as the following, which indicates the cops can broadly ask for and/or get access to live real-time video streams:

The proposed Surveillance Technology Policy would authorize the Police Department to use surveillance cameras and surveillance camera networks owned, leased, managed, or operated by non-City entities to: (1) temporarily live monitor activity during exigent circumstances, significant events with public safety concerns, and investigations relating to active misdemeanor and felony violations; (2) gather and review historical video footage for the purposes of conducting a criminal investigation; and (3) gather and review historical video footage for the purposes of an internal investigation regarding officer misconduct.