Campus personnel safety management system based on deep learning and face recognition features

Abstract

The invention relates to a campus personnel safety management system based on deep learning and face recognition features, which comprises a background management system and a channel group consistingof a plurality of access control systems, the background management system comprises teacher and student card information and attendance management, embedded equipment information maintenance and face acquisition App; the channel groups are divided into barrier channel groups and barrier-free channel groups, wherein the barrier channel is provided with card swiping equipment or video recognitionequipment, the barrier-free channel group is provided with video identification equipment and a high-definition monitoring camera; when students and teachers swipe campus cards and pass through the barrier channel group, the card swiping equipment collects information of campus cards or the video recognition equipment collects face images of passing persons. The identification equipment carries out comparison and identification on campus card identification codes preset in a background system database by students and teachers or personal photo information stored in the database according to anidentification method, so as to judge whether the students enter school, leave school, get in and out of dormitories through the channel group and whether the students and teachers normally work or not.

Description

technical field [0001] The present invention relates to a campus security platform based on the field of biological feature identification, in particular to a campus personnel security management system based on deep learning and face recognition features using face recognition comparison technology and RFID card recognition technology. Background technique [0002] The campus security management platform is a management platform that provides network and information collaboration through face recognition technology, access control system, mobile phone text messages, and the Internet, allowing schools to control the personnel entering and leaving the school in a timely manner. [0003] The platform utilizes facial recognition technology. Since the face is important information of human beings, it is an important basis for distinguishing different groups of people. Therefore, face comparison is a more natural and direct comparison method than technologies such as fingerprint...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that in daily life, students need to go to school and parents cannot communicate with the school in time due to work reasons to know whether the child arrives at school safely and leaves school safely; the school cannot check at any time For each student, it is impossible to know the status of each student in school; at the same time, it can also manage attendance for school teachers and students in terms of class and bedtime, which is very practical

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