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NEC’s Video Face Recognition Technology Ranks First in NIST Testing

NEC’s face recognition technology achieved the highest performance evaluation in the recent Face in Video Evaluation testing performed by the U.S. National Institute of Standards and Technology (NIST). Video face recognition technology identifies the faces of moving subjects in real-time as they walk naturally without stopping in front of a camera. To achieve reliable face recognition of a video image, NEC developed feature point extraction technology that enables enhanced face recognition to a level where an individual can be identified with high precision from within a group, even if their face is partially hidden, or the image is taken from different angles.

NEC’s face recognition technology also uses deep learning technologies for face matching to increase accuracy to a level where an individual can be identified by a low resolution face image captured by a distant camera. The benefits of high-speed video analysis enabled by this technology include the prevention of potential incidents through detection of suspicious individuals and recognition of individuals at the gateways of critical facilities.

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