CIES Consortium
National Projects
NEDO Strategic Innovation Program for Energy Conservation Technologies
Practical application development /
Development of high-speed non-contact AI thermal camera for multi-personnel detection for post COVID-19 hazardous map creation
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CTO(PSI)
Tetsuo Endoh -
Prof.
Shoji Ikeda
The new-type virus infection diseases will come to our community repeatedly. There is inevitable person-to-person contact in our society even after COVID-19. Therefore, we should keep economic activities and daily lives while protecting ourselves from infectious diseases. This approach requires integrating the risk-detecting devices and collected data into cyberspace and visualization of the risks, which will lead to the high-tolerance community against infectious diseases. We thus need the high-speed non-contact AI processor accelerated thermal camera to establish the social innovation as post-COVID-19.
The current thermal camera has a 5~20 persons/sec detecting speed due to the processing power limitation on overlaying thermal and image. This overlay limitation brings that the current thermal camera cannot use for the high traffic area, such as stations in busy time slots, but only for the relatively low traffic locations. It is thus necessary to improve AI microcomputer performance significantly and low power consumption.
This project is developing a high-speed non-contact AI thermal camera for multi-personnel detection with ultra-low power consumption, by utilizing our unique, competitive and innovative AI processor.

High-Speed/Low Power AI Thermal Camera and its High-Speed Temperature Detecting Image