Against the backdrop of smart campus construction, traditional access control systems in university dormitories are plagued by low efficiency and insufficient security, making face recognition technology a preferred solution for building intelligent access control systems.[1] Focusing on the pain points of dormitory access control, this study first clarified requirements through research, then designed and implemented an embedded face recognition access control system, completing data collection and preprocessing, model training, development of a liveness detection module, and joint debugging and testing.[2] Tests indicate that the system demonstrates excellent recognition accuracy, real-time performance, and anti-counterfeiting capabilities. It effectively addresses the issues of traditional access control systems, provides a feasible solution for the intelligent management of university dormitories, and contributes to the informatization of education.
face recognition, Dormitory Access Control
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