If the founders of a new face recognition app get their way, anonymity in public could soon be a thing of the past. FindFace, launched two months ago and currently taking Russia by storm, allows users to photograph people in a crowd and work out their identities, with 70% reliability.
It works by comparing photographs to profile pictures on Vkontakte, a social network popular in Russia and the former Soviet Union, with more than 200 million accounts. In future, the designers imagine a world where people walking past you on the street could find your social network profile by sneaking a photograph of you, and shops, advertisers and the police could pick your face out of crowds and track you down via social networks.
Unlike other face recognition technology, their algorithm allows quick searches in big data sets. “Three million searches in a database of nearly 1bn photographs: that’s hundreds of trillions of comparisons, and all on four normal servers. With this algorithm, you can search through a billion photographs in less than a second from a normal computer,” said Kabakov, during an interview at the company’s modest central Moscow office. The app will give you the most likely match to the face that is uploaded, as well as 10 people it thinks look similar.