Monitoring equipment deployment method and system, computer equipment and storage medium

Abstract

The invention provides a deployment method of monitoring equipment. The deployment method comprises the following steps: acquiring first map data of a to-be-deployed area; analyzing second map data matched with the first map data, wherein the second map data corresponds to a deployed area; acquiring second monitoring equipment deployment information of the deployed area; and configuring first monitoring equipment deployment information of the to-be-deployed area according to the second monitoring equipment deployment information. The invention further provides a deployment system of the monitoring equipment, computer equipment and a storage medium. Therefore, the monitoring equipment can be automatically, quickly and accurately deployed for a new area where the monitoring equipment is not deployed on the basis of the matched monitoring equipment deployment information of the deployed area.

Description

technical field [0001] The present invention relates to the technical field of security monitoring, and in particular, to a deployment method, system, computer equipment and storage medium of monitoring equipment. Background technique [0002] IP camera is a new generation of camera that combines traditional camera and network technology. It can transmit images to the remote end through the network, and the remote browser does not need any professional software, just a standard web browser. monitor its image. The network camera is generally composed of lens, sound sensor, A / D converter, controller network server, external alarm, control interface and other parts. [0003] Existing network cameras are generally equipped with AI (Artificial Intelligence, artificial intelligence) algorithms at the camera, but whether in parks or government enterprises and institutions, the environment is quite complex. Different places have different requirements for the AI ​​algorithm equipp...

AI Technical Summary

Problems solved by technology

Due to the complex environment, when multiple cameras need to be deployed, different algorithms need to be adjusted for the actual geographical area, and a lot of time is spent on monitoring equipment deployment and algorithm deployment

For areas where surveillance cameras have not been deployed in the past, it is inevitable to encounter errors caused by human judgment when deploying algorithms. At the same time, there are generally hundreds of surveillance cameras in the area. Deploying these cameras alone requires specific knowledge of different locations in the area. Clear cognition requires a clear understanding of the characteristics of each functional area, which requires a lot of manpower and time costs

[0004] In summary, there are obviously inconveniences and defects in the actual use of the existing technology, so it is necessary to improve

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