Automated Body Temperature Measurement: Case Study of Edge AI Development in Video
Non-contact body temperature measurement system using edge AI-based skeletal recognition (POSE) technology.
This is a non-contact body temperature measurement system using a thermosensor and POSE. The hardware of this system is configured by serially connecting a thermosensor to a Raspberry Pi system. The thermosensor uses a thermographic camera module. It can detect infrared and measure the temperature at a distance. To enable automatic measurement from the perspective of infection prevention, POSE is used to determine whether the face is in front of the thermosensor. In the demo video, a disposable heat pack is used to confirm operation in the case of elevated body temperature. ■ For inquiries Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011
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Introducing Edge AI development examples in video What Edge AI can do Motion detection It detects movements and identifies people or objects while obtaining location information. Applications include detecting the movement paths of factory workers and providing warnings when approaching dangerous areas. State recognition It makes judgments about shapes and appearances from images. This enables shape judgment during product assembly and assessing the degree of cooking in food manufacturing processes. Classification and identification It classifies and identifies people or objects. This includes classification based on shapes and colors learned from images, as well as trend analysis using the results for parts, boxes, etc. We are developing a demo of Edge AI based on this technology. For inquiries: Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011
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Edge AI Development Case: Automatic Body Temperature Measurement System
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