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Community personnel abnormal behavior monitoring scheme based on computer vision

A technology of computer vision and behavior, applied in computer parts, calculations, instruments, etc., can solve the problems of being unable to intelligently distinguish the abnormal behavior monitoring ability of community personnel, and unable to warn and prevent illegal and dangerous behaviors, so as to reduce illegal crimes And the effect of dangerous behaviors, personal safety and property safety

Active Publication Date: 2020-12-25
天津锋物科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a computer vision-based monitoring scheme for the abnormal behavior of community personnel, so as to solve the problems of the existing community network monitoring cameras proposed in the above-mentioned background technology. Behavior monitoring capabilities, therefore, it is impossible to warn and stop some illegal and dangerous behaviors in time

Method used

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  • Community personnel abnormal behavior monitoring scheme based on computer vision
  • Community personnel abnormal behavior monitoring scheme based on computer vision
  • Community personnel abnormal behavior monitoring scheme based on computer vision

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0055] see Figure 1-4 , the present invention provides a technical solution: a computer vision-based monitoring scheme for abnormal behavior of community personnel, including a community abnormal behavior monitoring module, an identity recognition module, a unit flow detection and monitoring module for personnel, and an abnormal behavior prediction and comparison library module. In that, the abnormal behavior monitoring module of the community is bidirectionally c...

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Abstract

The invention discloses a community personnel abnormal behavior monitoring scheme based on computer vision in the technical field of monitoring systems, and realizes a safety protection monitoring system on the basis of an alternating current network by taking a camera as an acquisition port. According to the invention, by use of personnel and stranger flow and action areas detected in the camera,through computer vision and big data analysis, whether the personnel are personnel in a community is intelligently distinguished, various abnormal behaviors can be identified, abnormity can be foundin time, security personnel can be reminded to warn and stop some illegal and dangerous behaviors, and the safety of the personnel is improved. The cradle can purify the community environment, reduceillegal crimes and dangerous behaviors in the community, prevent community personnel from being hurt first and then obtain compensation and protection, so that the danger and illegal behaviors of thecommunity are killed in the cradle, the danger and illegal behaviors are truly prevented from happening, and the personal safety and property safety of community owners are guaranteed.

Description

technical field [0001] The invention relates to the technical field of network monitoring systems, in particular to a computer vision-based monitoring scheme for abnormal behavior of community personnel. Background technique [0002] With the improvement of modernization and the development of 5G and Internet of Things technology, residents are paying more and more attention to the safety of the community. At present, more and more cameras are deployed for community security, most of which are used to monitor key areas of the community. These facilities make it more likely that abnormal situations in the community will be discovered in the first place. Even if they are not discovered in the first time, the surveillance video can provide strong evidence for later investigations, but the residents in the community are still There will be some irreparable losses. Only when potential dangers can be discovered in time, and security personnel can be alerted and checked in advance,...

Claims

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Application Information

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IPC IPC(8): G06K9/00G08B21/24
CPCG08B21/24G06V40/172G06V40/20G06V20/40G06V20/52
Inventor 许英东李斌
Owner 天津锋物科技有限公司
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