Here’s a Facial Recognition Scrambler to Address Your Privacy Concerns

Facial recognition software are at an advanced stage today, with Amazon and others testing out shopping usingĀ it, Facebook leveraging it to suggest tags to users and cops searching through hundreds of millions of faces on their servers.

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In such a time, for those who are concerned about their privacy, a Berlin-based artist has come out with a camouflage concept, borrowed from the animal kingdom.

Adam Harvey of the HyperFace Project has come up with designs with patterns that would appear as faces to the visual software — confusing the algorithm with anĀ overload of faces so that it isn’t able to tell which one is real.

According to the company, ‘HyperFace is a new kind of camouflage that aims to reduce the confidence score of facial detection and recognition by providing false faces that distract computer vision algorithms.’

HyperFace is being developed in collaboration with Hyphen Labs NeuroSpeculative AfroFeminism project.

In a Chaos Communications Congress hacking conference in Hamburg Germany, Adam Harvey said, “I got inspiration from false coloration in the animal kingdom. HyperFace is about reimagining the figure-ground relationship of the human body to our environment in the context of computer vision.”

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The development of HyperFace was started in 2013, and it was first presented in front of an audience at 33c3 in Hamburg, Germany on December 30, 2016.

The product will be launched as a textile print at the Sundance Film Festival on January 16, 2017.

“The real criminal, in these cases, are people who are perpetrating this idea, not the people who are being looked at. I think this project could change fashion designers’ and architects’ approach to modulating the way bodies appear or disappear into the background of a computer vision readable world and optimise our personal privacy,” Harvey added.

In the company’s words, ‘if a computer vision algorithm is expecting a face, give it what it wants’. The developers are aware of the complications of concealing facial detection completely but aims at lowering the confidence score of the algorithm.

As is said, if you can not convince them, confuse them, and although a technical and aesthetic challenge, HyperFace aims nothing less than that.

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