Researchers and designers are developing computer-generated patterns that make clothing invisible to AI surveillance. These designs exploit weaknesses in object-detection algorithms to prevent systems from recognizing human figures.
A new algorithm presented at the Black Hat security conference creates patterns that bypass facial recognition models. These models are currently used in surveillance systems from companies including Axon and Palantir.
The technology challenges automated surveillance reliability and has launched a new market for privacy-enhancing fashion. Multiple brands now sell anti-surveillance apparel to consumers.