Community personnel file intelligent management method

Abstract

The invention relates to the field of community management, and provides a community personnel file intelligent management method. The method comprises the steps that faces are detected by using a deep learning model, and list database comparison is conducted; management and classification of community personnel are conducted by adopting a mechanism of black, white, and gray lists to achieve real-time alert of special personnel; cleaning of acquired image data is conducted to optimize and train the deep learning model; entry and exit time of the community personnel are analyzed to achieve advance warning of abnormal events; archive information of list database personnel is used for forming relevant statistical data and charts of the community. By means of a community management system, specification management of the community personnel and timely warning of the special personnel and the abnormal events are achieved to reduce work load of security personnel and effectively improve safety coefficient of the community, and community management is more intelligent.

Description

technical field [0001] The invention relates to the field of community management, in particular to an intelligent management method for personnel files in a community. Background technique [0002] With the development of the security industry, monitoring has already entered people's daily life. However, the existing monitoring system can only be used for manual real-time inspection and post-event evidence collection in community management, and cannot realize real-time monitoring of special personnel and abnormal events. Early warning mainly relies on manual patrols and active investigations by security personnel. In order to solve the above problems, the present invention applies deep learning to community monitoring, and combines the management mechanism of black, white and gray lists, and proposes an intelligent management method for community personnel files, which realizes real-time detection and alarm of special personnel, as well as monitoring of abnormal events. A...

AI Technical Summary

Problems solved by technology

[0002] With the development of the security industry, monitoring has already entered people's daily life. However, the existing monitoring system can only be used for manual real-time inspection and post-event evidence collection in community management, and cannot realize real-time monitoring of special personnel and abnormal events. Early warning, mainly relying on manual patrols and active investigations by security personnel

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