Based on the requirement of the detection of fever symptoms caused by the coronavirus pneumonia epidemic, the R&D team at Megvii has introduced an AI temperature measurement solution and rolled it out in the lobby of the Beijing Haidian government building and some subway stations.

This system uses a front-end infrared camera to identify high-temperature people in the crowd. Based on its accuracy of the human body and facial recognition, it can help screen various public places (train stations, bus stations, subway stations, airports) and other high-density areas for abnormal body temperature. This system can help solve the issue of efficiency and controllability in open spaces by using AI-assisted non-contact temperature-sensing measurements during and after the epidemic.

Moreover, under circumstances where one is wearing a mask and a hat, the system is still able to identify the individual efficiently, with a recognition error of ± 0.3 ° C. As such, the public does not need to remove their masks nor hat, or line up for checking.

Another major feature of the system is its long-range temperature measurement capability of more than 3 meters. Once a suspected individual with fever is detected, the system will automatically alert the authorities. Combining this feature with the self-developed human ReID (Re-Identification) detection and retrieval technology, the system can quickly help screen the location clues of fever personnel for further confirmation and medical observation.

A Megvii R&D representative said that the bandwidth of this smart system can screen up to 15 people per second, and can be deployed at 16 exits simultaneously, which enables the screening of all exits at one subway station. In addition to that, with the help of this AI system, only one staff member is required to monitor it, even in the most crowded subway station, which greatly reduces the exposure risk of front-line staff members.

Editor’s note: This is part of our ongoing Tech for Good series, highlighting how Chinese tech companies are helping fight the impact of the coronavirus. This was originally written by Steven Lee, a writer for our sister site, TechNode Chinese. Read the Chinese version here

Suzanne Loo

Based in Shanghai, Suzanne builds and promotes TechNode domestically and globally by designing and implementing online and offline marketing campaigns and events. A Global Studies graduate from St. Lawrence...

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