Facial Recognition Technology Could Help Prevent the Spread of the Coronavirus


Facial recognition technology could actually act as a tool to help prevent the spread of the dreaded Coronavirus originating from China as the World Health Organisation (WHO) is urging countries to step up measures to detect and contain the virus, security and technology analysts believe.

A recent report from Reuters indicates that facial recognition surveillance technology is currently being used to detect cases of Coronavirus and help contain the spread of the outbreak, which started in the Wuhan province and has now infected over 40,000 people in China alone.

The report highlights one case study, whereby the authorities were able to track a resident from Hangzhou who had recently taken a trip to nearby Wenzhou – an area that has been affected by the virus – via the use of facial recognition cameras. The individual was subsequently instructed to stay indoors for two weeks.

Tensor – experts in deploying high-end facial recognition systems

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).

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