Abstract
In view of the normalization of epidemic prevention and control work, the low detection efficiency of traditional temperature measurement methods, and the existence of infection risks, an infrared thermal imaging temperature measurement system that can measure and identify the temperature of more than two people is designed. The system uses the Raspberry Pi as the core controller, using visible light and infrared cameras to capture identity and body temperature information. Identity recognition is based on OpenCv, using the Face Recognition face recognition framework to complete the identity recognition; body temperature detection is based on image registration, and the face position is mapped to the infrared image in real time through affine transformation, and finally the temperature of the human face area is obtained and displayed on the screen. The final experimental results show that it can simultaneously identify multiple people and detect body temperature with high accuracy, which can basically meet the requirements of rapid body temperature screening in intensive situations.
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