Intelligent monitoring method, device and system based on machine vision, equipment and storage medium

Abstract

The invention discloses an intelligent monitoring method, device and system based on machine vision, equipment and a storage medium. The method comprises the following steps: obtaining a monitoring video in a production environment, extracting a plurality of selected frames in the monitoring video, and dividing dangerous areas in the selected frames into a plurality of sub-areas; calculating the fingerprint of each sub-area by using a Hash algorithm, and calculating the Hamming distance between each fingerprint and the center of a plurality of clustering clusters, wherein the plurality of clustering clusters are obtained by performing fingerprint clustering on each sub-area in the video frame; and according to the relationship between the Hamming distance and the maximum distance in each clustering cluster, judging whether abnormity occurs or not. The intelligent monitoring method based on machine vision provided by the invention is simple and effective, does not need a large amount oftraining data, can achieve the purpose of real-time detection, and can meet the safety requirement of real-time shutdown due to the detection accuracy.

Description

technical field [0001] The present application relates to the technical field of video monitoring, in particular to a machine vision-based intelligent monitoring method, device, equipment, system and storage medium. Background technique [0002] With the continuous development of industry, more and more factories and enterprises have adopted automated production technology, using robots to replace people in production, rarely requiring human intervention, and even unmanned factories have emerged. However, there will be some inevitable safety problems in the automatic production process of robots. For example, unrelated personnel entering the working environment where the robot is working will cause serious life safety problems. [0003] In order to solve this problem, a monitoring system is needed that can detect intrusion of foreign objects in the working environment of the robot in real time. Once a foreign object enters the working environment of the robot, the robot will...

AI Technical Summary

Problems solved by technology

However, nowadays, there are more and more scenes of automatic production by robots, and the amount of data in the monitoring system is too large. Manual monitoring of each monitoring video requires a lot of human resources, which is not only time-consuming, but also has serious lag. Therefore, There is an urgent need to make security monitoring intelligent, real-time and efficient

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