The invention provides an access control safety guarantee system based on deep learning, which comprises an access control recognition module used for recognizing a face or a license plate, tracking a recognition result in real time, and comparing the recognition result and a tracking result with input user information, a master controller, an access control module used for receiving the recognition result and the tracking result, and a display module used for displaying the recognition result and the tracking result, the access control system comprises a comparison module used for comparing the user information with the user information, a judgment module used for judging whether the user is a user according to the comparison result and controlling the access control to be opened if the user is the user, an environment monitoring module used for acquiring the face, license plate and smoke information, and a user interface and management module used for user registration, user information input, multi-user identification and missing detection avoiding, thereby improving the passing efficiency of the access control.
本发明提供了一种基于深度学习的门禁安全保障系统,包括门禁识别模块,用于对人脸或车牌进行识别,再对识别结果进行实时跟踪,并将识别结果和跟踪结果与录入用户信息对比,其中识别结果包括人脸识别结果或车牌识别结果,主控器,用于根据对比结果,判断是否为用户,若为用户,则控制门禁打开,环境监测模块,用于获取人脸、车牌以及烟雾信息,以及用户界面与管理模块,用于用户的注册和录入用户信息,现实多个用户识别,并避免漏检的情况,进而提高门禁处的通行效率。
Entrance guard safety guarantee system based on deep learning
基于深度学习的门禁安全保障系统
2024-10-15
Patent
Electronic Resource
Chinese
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