Tensor’s facial recognition technology is simply – the best there is. It’s designed specifically for fast, discrete identification/registration of known/unknown individuals, whether in a large crowd at a stadium or festival or in public places such as airports, train stations, shopping centres or urban areas.

The system dynamically compares images of individuals from incoming video streams against those stored in a predefined list and immediately alerts the appropriate people when a positive match occurs. The technology yields a very good level of performance even when there are partial occlusions of the face; the use of glasses, scarves or caps, changes of facial expression and moderate rotations of the face. Moreover, it does not allow users to be impersonated using photographs.

Our Facial Recognition CCTV system is easily integrated with existing ID management products and enables administrators to create Whitelists/ Blacklists for specific areas. People are easily and quickly enrolled from one or more photographs and/or video clips, negating the need for a subject to be physically enrolled.

Optimized for GPU computing architectures, the Tensor Facial Recognition system is 40 times faster than traditional systems (up to 150 fps), and works with very high-resolution video streams – up to 150 fps with high resolution IP cameras. It analyses multiple cameras simultaneously and fully supports runtime alarm management, is highly tunable (control based on time-frames, sequentially, etc.) and even allows alarms to be exported to common formats (PDF, Excel) and remote devices (mobile, PDA, tablet, security control centre).

Tensor Facial Recognition Systems – Key Features

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