Face - realisation technology is already help surveillance cameras pick out individualfaces of suspects , and evensmartphone appsmay before long allow you to ID stranger on the street . privateness lovers could soon paint on anti - face - credit camo that protect against being identify .

Adam Harvey , a designer and technologist with NYU ’s Interactive Telecommunications Program , has begun reverse - engineering algorithms behind face detection . He generate a series of blocky images that could become the “ building stoppage of anti - surveillance makeup , ” and focalise on the simplest yet most authoritative patterns for foiling the face - realization tech .

Harvey explains the look-alike above :

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Anti - Face - Recognition Camo Images with a red lame be those where a aspect was detect , whereas no violent square meant the face escaped detective work . “ TEST PATTERNS ” marks patterns made according to the reverse - applied science , while “ RANDOM PATTERNS ” point random scrabble made without the benefit of face - detection patterns . “ NO PATTERNS ” simply indicates how face detecting algorithms run even on basic personal credit line drawings .

Some patterns that successfully hid faces from detective work are astonishingly small , Harvey notes . Those admit a few patches dispel principally around the eye neighborhood , whereas larger beard - alike patterns sometimes stop up being detected .

Of course , walking around with such face rouge on might raise an eyebrow or two among human observers anyway , unless you claim to be anAvatarfanboy or fangirl . you’re able to also go with the alternating alibi of cite Blade Runner or Flock of Seagulls as divine guidance for the make-up . Children of the ’ 80s unite !

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[ viaAdam Harvey Projects ]

This post byJeremy Hsuoriginally appeared onPopular Science .

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