Smile - Big Brother Matches 36 million Faces Per Second

Hitachi unveiled a novel surveillance camera that is able to capture a face and search up to 36 million faces in one second for a similar match in its database.

While the same task would typically require manually sifting through hours upon hours of recordings, the company´s new technology searches algorithmically for a facial match. It enables any organization, from a retail outlet to the government, to monitor and identify pedestrians or customers from a database of faces.

Hitachi’s software is able to recognize a face with up to 30 degrees of deviation turned vertically and horizontally away from the camera, and requires faces to fill at least 40 pixels by 40 pixels for accurate recognition. Any image, whether captured on a mobile phone, handheld camera, or a video still, can be uploaded and searched against its database for matches.

“This high speed is achieved by detecting faces through image recognition when the footage from the camera is recorded, and also by grouping similar faces,” Seiichi Hirai, Hitachi Kokusai Electric researcher told DigInfo TV.