基于疫情环境的人脸识别门禁系统研究

Research on Face Recognition Access Control System Under the Epidemic Environment

结合疫情的实际使用需求,研究了一种基于人脸识别门禁的系统.通过摄像头采集人脸信息,采用卷积神经网络进行训练,建立人脸模型,人体红外传感器实现非接触的温度采集,控制器根据数据信息,实现门禁系统的控制.

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.