In order to realize the integrated entrance guard detection in the scene of random flow of people.combined with face recognition algorithm, the design method of integrated entrance guard monitoring system is proposed based on face video detection. A face video feature detection model in the scene of random flow of people is established, block matching on the face video features in the scene of random flow of people is performed, a living feature analysis model of face video monitoring in the scene of random flow of people is established by adopting the method of block feature information fusion, the face feature recognition and information fusion is realized by adopting the method of biological directional recognition, and the statistical features and edge detail parameters of face video in the scene of random flow of people are extracted, Combined with the face anti-deception algorithm, the authenticity of the face in the process of integrated entrance guard monitoring is judged. On the basis of dynamic biometric detection, the feature recognition of facial expressions under different expressions such as nature, smile and mouth opening are realized, and the integrated entrance guard monitoring is realized according to the feature recognition results. In the embedded and cloud technology environment, the alarm controller of integrated access control is built to realize access control, information privacy protection, image recognition and information playback, and the system hardware design is realized. The simulation results show that the designed integrated entrance guard monitoring system has high detection and recognition ability of face features and good recognition accuracy.
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