Intelligent analysis equipment resource adjustment method and device

Abstract

The invention provides an intelligent analysis equipment resource adjustment method and device. The method comprises the following steps: acquiring state information of intelligent analysis equipmentaccessed to a monitoring platform and application information deployed on the intelligent analysis equipment, wherein the state information comprises a resource occupancy rate and the number of boundcameras; after the camera is accessed to the monitoring platform, selecting bound intelligent analysis equipment for the camera according to the state information and the application information of the intelligent analysis equipment accessed to the monitoring platform; and sending a command of binding the camera to the selected intelligent analysis equipment. Therefore, the resources of the intelligent analysis equipment can be distributed in an automatic mode, the processing efficiency is improved, and the low efficiency of manual processing is avoided.

Description

technical field [0001] The present application relates to the field of video surveillance, and in particular to a method and device for resource adjustment of intelligent analysis equipment. Background technique [0002] A smart camera is a surveillance camera with independent intelligent processing functions (such as face recognition and license plate number recognition, etc.). As a result, the timeliness of the response has a very broad application prospect in various fields such as public safety, transportation and industrial production. [0003] Compared with ordinary cameras, smart cameras also need complex intelligent processing, which requires more powerful hardware resources and deploys software capable of intelligent processing, which is relatively expensive. In order to make full use of the hardware and software resources of smart cameras, an intelligent The camera 1 drags N mode, that is, the smart camera accesses the video streams of N ordinary cameras. In addit...

AI Technical Summary

Problems solved by technology

During the intelligent processing of smart cameras, the consumption of resources has a strong correlation with the data collected by the cameras. For example, when performing face analysis, there are three different images: no face, one face, and a large number of faces. The consumption is very different, so the cameras will be deployed in different locations, resulting in unbalanced resource usage. For example, the resources of smart cameras in some locations may be overloaded, but the resources of other locations may be low-loaded for a long time. Using the smart camera 1 to N mode, then Increased likelihood of imbalanced resource use

[0004] In related technologies, the problem of unbalanced use of resources is solved by manually adjusting the binding relationship between smart cameras and ordinary cameras. However, the manual method has a slow response speed and low processing efficiency.

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