Research on Face Recognition Access Control System Under the Epidemic Environment
This paper studies a face recognition access control system based on the actual demands of the epidemic situation. By collecting facial information through cameras, introducing convolutional neural networks for training, establishing a facial model, and having the human infrared sensor collect non-contact temperature of the human body, the controller controls the access control system based on data information.
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