Anti-theft system based on pattern recognition technology

Abstract

The invention discloses an anti-theft system based on the pattern recognition technology. The anti-theft system comprises a camera, a hard disk video and a monitoring platform, and further comprises behavior analysis submodules and a special video storage module, wherein the behavior analysis submodules are connected with the hard disk video and analyze persons in videos, and the special video storage module stores videos with suspicious behaviors analyzed by the behavior analysis submodules. The behavior analysis submodules are adopted in the anti-theft system based on the pattern recognition technology, the anti-theft system based on the pattern recognition technology can replace monitoring staff to conduct real-time anti-theft monitoring on markets and shops, the special video storage module in the anti-theft system can specially store the behaviors of suspicious persons, the theft behaviors of the suspicious persons can be conveniently and rapidly searched for, and evidences are provided for public security departments in time.

Description

technical field [0001] The invention relates to a monitoring system, in particular to an anti-theft system for automatically analyzing the behavior of suspicious persons based on pattern recognition technology. Background technique [0002] At present, known shopping mall monitoring system is made up of camera, hard disk video recorder, video wall and monitoring operation platform. When the system is working, the real-time images of the shopping mall are automatically stored in the hard disk video recorder after being captured by the camera. The monitoring personnel monitor the personnel in the shopping mall through the pictures on the TV wall, and if suspicious situations are found, the security personnel will be notified in time and certain measures will be taken. The existing monitoring system of shopping malls and stores is actually a passive real-time video storage system. The monitoring personnel can only artificially analyze the theft behavior of some suspicious peop...

AI Technical Summary

Problems solved by technology

Many stores in shopping malls require monitoring personnel to monitor each stall, which is a time-consuming and unrealistic task, and people will get tired after a long time. When the monitoring personnel are physically fatigued or distracted, It often brings opportunities for thieves, so it is inevitable that there will be missed inspections, which will cause theft of goods in stores in shopping malls

In addition, for store personnel, when they are busy selling goods, thefts often occur, which brings economic losses to the merchants.

[0003] The existing video surveillance system has the following disadvantages: (1) It cannot automatically lock suspicious personnel in the mall through the behavior analysis of the mall personnel; (2) It cannot automatically store the exclusive video of relevant suspicious persons; (3) It is labor intensive and easy to use people fatigue

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