Campus dormitory management system based on face recognition

Abstract

The invention provides a campus dormitory management system based on face recognition. The campus dormitory management system comprises a master control module, wherein an input end of the master control module is connected with a face recognition module, and the input end of the face recognition module is connected with an image collecting device. The campus dormitory management system is characterized in that another input end of the master control module is connected with a proximity sensor, and the output end of the master control module is connected with the image collecting device. According to the campus dormitory management system based on the face recognition, the proximity sensor is added to the front end of the master control module, only when the proximity sensor monitors that somebody is close to the face recognition module can the master control module awaken all work units to be in a working state, otherwise, the work units are in a dormant state, and therefore electric energy is saved, aging of equipment is postponed, and the service life of the equipment is prolonged.

Description

technical field [0001] The invention relates to a campus safety management system, in particular to a campus dormitory management system based on face recognition. Background technique [0002] The non-contact, uniqueness and safety of the face recognition module have made it widely used in many fields in recent years. Peripheral equipment for face recognition usually includes a camera for collecting images and a display screen for displaying face images and setting results. The camera collects face images of people to be recognized in real time and displays the collected images on the display screen. The processor inside the face recognition module performs a series of real-time processing on the collected face images, such as face detection, feature training, and feature extraction, to obtain the facial feature data of the person to be identified, and compare it with the pre-stored memory Compare and identify the characteristic data in one by one, and output the identifi...

AI Technical Summary

Problems solved by technology

The existing face recognition peripherals are always in working state after they are turned on until they are turned off or cut off the power supply. However, in many occasions, users do not need to use them all the time, especially in campuses. Most of the people who enter and leave school dormitories are teachers and students. , Parents, the cameras and monitors used to match face recognition at the door of the dormitory can only be used when the students are out of class or after school. Basically, they are idle most of the time, which not only wastes power, but also speeds up the equipment. Aging, thereby shortening the service life

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