Student sleeping safety intelligent management method based on video behavior recognition

Abstract

The invention discloses a student sleeping safety intelligent management method based on video behavior recognition. The invention relates to the field of informatization, video analysis and image recognition, in particular to an object behavior standard detection method based on a student sleeping scene environment. According to the behavior specification intelligent judgment and detection method, only aiming at the scenes of student going to bed, abnormity early warning and checking processing, in the scenes, students need to leave the dormitory at fixed time and return to the dormitory at fixed time, whether going out late, going to early and going to late belong to abnormal conditions, and school managers need to pay attention and process the abnormal conditions. Meanwhile, due to theparticularity and privacy of the dormitory, dormitory managers and school logistics managers needs pay attention to people entering the dormitory, especially strangers to handle the situation in unconventional access time. The method comprises the steps that when students in a school fall asleep scene, people in a scene are arranged according to school sleeping time regulations, a face recognitiontechnology and a video behavior analysis technology are combined, intelligent training is carried out on the basis of correct and wrong behavior specifications in the scene, the sleeping state of students and the state that strangers enter a dormitory are intelligently judged, and abnormal behaviors are combined with violation pictures to be output.

Description

Technical field [0001] The invention relates to the field of computer technology, in particular to an algorithm application based on image recognition. Background technique [0002] Students are the future of society, and all matters related to students are the top priority of the entire society. For residential students, safety has always been an issue of great concern to the school. Currently, there is no good way to supervise the return of students to bed, and they can only rely on manpower. However, manpower is ultimately limited. For a student dormitory with thousands of people, a dormitory management team of only a few people can be considered a drop in the bucket. And if you rely on the head teacher for verification, it can only be used as a temporary means, and it cannot be regularized. [0003] At present, the school has gradually completed the layout of informatization and even intelligence in other fields, and it has been relatively blank in the management of return t...

AI Technical Summary

Problems solved by technology

[0005] 1. For dormitories that have been closed, it is not convenient to enter and check

[0006] 2. General dormitory administrators can't tell whether the student on the bed is himself or not

[0007] 3. Huge consumption of human resources, unable to achieve long-term complete coverage inspection

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