YouTube · Decrypt
The AI-Generated Pattern Hides You From Surveillance Cameras—Including Flock
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Bill Swearingen spent the past year running one experiment over and over from his home in Kansas City, where he co-founded the SecKC security meetup.
Key facts
- He showed it in public for the first time Friday at Def Con, working with the YouTube channel Donut Media to cover a 2009 Toyota Yaris in one of his newest patterns and roll it past a Flock camera
- Bill Swearingen spent the past year running one experiment over and over from his home in Kansas City, where he co-founded the SecKC security meetup
- The company is facing a growing backlash on Capitol Hill, and internal documents show it pitched a plan to turn 350,000 Uber and Lyft dashcams into a rolling plate-scanning fleet
- Automated readers have already pulled over innocent drivers at gunpoint over bad matches, and immigrants and protesters keep getting swept into ICE’s AI dragnet
Summary
Bill Swearingen’s noRecognition project generates patterns that stop camera software from classifying what it covers—people, faces, or cars. The patterns defeated all 11 open-source detection algorithms he tested, including the software behind Flock license plate readers, Axon body cameras, and Clearview AI. The first public test came Friday at Def Con in Las Vegas: a 2009 Toyota Yaris wrapped in the pattern, driven past a Flock camera. He showed it in public for the first time Friday at Def Con, working with the YouTube channel Donut Media to cover a 2009 Toyota Yaris in one of his newest patterns and roll it past a Flock camera.