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AI-generated pattern defeats surveillance cameras after 31 million tests
A Kansas City security researcher ran 31 million tests to train an AI model to generate camouflage patterns that defeat surveillance camera algorithms, including the Flock system. The resulting patterns, when applied to clothing or vehicles, can make them invisible to automated recognition systems. The findings raise significant questions about privacy and the effectiveness of modern surveillance infrastructure.
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