MIT shows how wifi can be used to accurately track people and objects


At the 2016 Usenix conference, MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) presented a system called Chronos that could use wifi signals to detect the position of a person or object inside a room to within tens of centimetres. MIT claimed Chronos was 20 times more accurate than previous wifi-based tracking systems, 94% successful in detecting which room a person was in, and 97% accurate in determining if a customer was inside or outside a shop. The researchers hoped the system would be useful to coffee shops and stores wanting to restrict use of their public wifi systems to just their customers. Unlike previous similar systems that relied on triangulation, Chronos required just one wifi access point instead of three,

Writer: Catalin Cimpanu
Publication: Softpedia

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