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Anti-surveillance clothing aims to hide wearers from facial recognition
An image of a Hyperface pattern, specifically created to contain thousands of facial recognition hits. Photograph: Adam Harvey
Hyperface project involves printing patterns on to clothing or textiles that computers interpret as a face, in fightback against intrusive technology
The use of facial recognition software for commercial purposes is becoming more common, but, as Amazon scans faces in its physical shop and Facebook searches photos of users to add tags to, those concerned about their privacy are fighting back.
Berlin-based artist and technologist Adam Harvey aims to overwhelm and confuse these systems by presenting them with thousands of false hits so they can't tell which faces are real.
The Hyperface project involves printing patterns on to clothing or textiles, which then appear to have eyes, mouths and other features that a computer can interpret as a face.
This is not the first time Harvey has tried to confuse facial recognition software. During a previous project, CV Dazzle, he attempted to create an aesthetic of makeup and hairstyling that would cause machines to be unable to detect a face.
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