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Hacker Runs 31M Tests to Build Clothing That Defeats Facial Recognition

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Former software engineer and security researcher Bill Swearingen launched noRecognition in 2022 to develop clothing capable of evading AI-powered facial-recognition cameras. After running 31 million pattern-performance tests, he identified geometric arrangements and color combinations that can reduce a camera system's detection confidence to below 10%. Swearingen partnered with a North Carolina textile mill to produce the designs as real garments, with the first collection — including hoodies, caps, and face masks — released in early 2024. A privacy-score calculator on the noRecognition website lets customers test how well a design would fool common facial-recognition APIs before purchasing. Beyond personal privacy, Swearingen hopes the visibility of anti-surveillance fashion will push governments to impose stricter regulations on facial-recognition deployments in public spaces.

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