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The dynamic face recognition system is deployed at the entrance of metro, shopping mall, hospital and old residence communities. Through dynamic data acquisition at the checkpoint, the eigenvalue of the portrait is extracted and quickly compared with the target portrait database to sort the similarity. The alarm threshold can be set. The staff will extract the information of similar personnel with surveillance video system. Once identified, the plan for arrest can be launched. This system has been deployed in many places and has made great achievements.
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Face recognition based on big data and deep learning: Human beings are social. Even if the fugitives hide their whereabouts, they inevitably have to interact with the society in daily life, leaving behind various information materials such as video, image and other information. Based on deep learning of big data, the face recognition system can be used to simulate the human brain on image information processing. Then it compares the characteristics between the face image in the picture and the images in the database in order to find fugitives and key suspects.
I.Performance index: the number of stored images is up to 0.5 million. The response time is within 1s (without network delay)
II.Collection speed: 30 faces can be collected simultaneously for 25 frames per second 1080P screen.
III.Capture rate: face attitude deflection angle can be set in accordance with the user scenarios. The capture rate reaches 97% with horizontal deflection angle range within 90°and vertical deflection range within 30°.
IV.Recognition accuracy: for the database with 0.5 million images, the recognition accuracy reaches 90% with the false recognition rate as 1/1000.
V.External adaptability: provides better adaptability for glasses, shadow, flashlights, expression, age and scene.
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Headquarters: Building 122, Lane 4855, Guangfulin Road, Songjiang District, Shanghai, China Tel.: 021-37682535/37682569 Fax: 021-37682632
