Security researcher Bill Swearingen presented noRecognition, a reinforcement learning system that generates adversarial patterns intended to prevent computer vision surveillance systems from detecting the people, faces or vehicles the patterns cover. After roughly 31 million tests over about a year, he says the model produces patterns that defeat all 11 open source detection algorithms he tested, including software underlying Flock license plate readers, Axon body-worn cameras and Clearview AI cameras. The patterns do not stop cameras recording; they suppress object and face detection alerts. In a first public real-world test on Friday, August 7, 2026, at Def Con in Las Vegas, a 2009 Toyota Yaris wrapped in a pattern with help from Donut Media evaded a Flock camera, though wheels remained difficult. A Kickstarter campaign funds pattern-printed clothing, and Swearingen says he is withholding his strongest patterns from the internet.

• techcrunch.com2026-08-07