Residential building entrance guard security system and method based on edge calculation

Abstract

The invention provides a residential building entrance guard security system and method based on edge computing. The residential building entrance guard security system comprises an edge computing node, an edge server and a cloud server, the edge computing node serves as a local device and is configured to receive visitor visiting information and image information of visitors, establish events, conduct face recognition, people number recognition and behavior recognition on the visitors and classify danger levels of the events. The edge server communicates with at least one edge computing node,receives and screens all levels of events uploaded by the edge computing node, and uploads screened event information to the cloud server; and the cloud server is configured to issue information to owners involved in the screened events.

Description

technical field [0001] The disclosure belongs to the technical field of intelligent buildings, and in particular relates to an access control security system and method for residential buildings based on edge computing. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In residential property management, access control and security systems are related to the safety of life and property of owners. In the traditional field, security systems mainly rely on unit doors and surveillance cameras. [0004] Generally speaking, the monitoring cameras of the whole community will be concentrated in one monitoring room for manual monitoring. The workload of the monitoring personnel is heavy and inaccurate, which cannot provide effective security conditions. In general, it is difficult to respond quickly when serious security incidents occur. The lag i...

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Problems solved by technology

[0004] Generally speaking, the monitoring cameras of the whole community will be concentrated in one monitoring room for manual monitoring. The workload of the monitoring personnel is heavy and inaccurate, which cannot provide effective security conditions. In general, it is difficult to respond quickly when serious security incidents occur. The lag in protecting the safety of the owner's life and property is relatively large

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