New anti-surveillance clothing has been developed, allowing wearers to prevent security cameras which use facial recognition technology from recognizing them. The clothing uses complex colored patterns of digitalized faces, and parts of faces, to overload and trick facial recognition software.
The patterned design of the clothing overwhelm and confuse facial recognition systems by presenting them with too many faces to read simultaneously.
Mashable reports that the clothing was produced as part of the Hyperface project, which prints patterns of eyes, noses, and mouths onto clothing and textiles.
Computer algorithms on which facial recognition technology relies recognize these complex patterns printed on the cloths as a face, and try to match the “face” to a real face in the database. The algorithms find themselves having to deal with so many “faces” at once, that they do not know which of the faces is the real one.
Adam Harvey, a Berlin-based artist and technologist, is behind the Hyperface project. He was also behind an earlier anti-surveillance, the CV Dazzle, which also aimed to disrupt facial recognition software.
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