Violation behavior real-time monitoring system and method based on AI vision

Abstract

The invention discloses a violation behavior real-time monitoring system and method based on AI vision, and the system comprises a data collection terminal, an edge calculation unit, a cloud service and a display terminal, and the data collection terminal collects an image of a monitoring region through a camera module for AI recognition; accesses the network camera according to the IP address ofthe network camera, and monitors the condition of the target site in real time; the edge calculation unit performs decoding, preprocessing, AI algorithm deployment and reasoning on the image through an edge machine. The invention discloses a system and a method for intelligently identifying and tracking non-standard behaviors in real time based on an AI visual technology. The safety production requirement of a factory can be met while the manual monitoring cost is reduced; the method can effectively reduce the manpower, improves the production safety, can achieve the real-time all-weather monitoring and alarm, and is an ideal violation behavior detection method. Compared with a traditional server, the maintenance cost can be reduced; therefore, the display modes are flexible and diverse.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a system and method for real-time monitoring of violations based on AI vision. Background technique [0002] Computer vision technology refers to the ability of machines to perceive the environment. It is mainly a technology that uses sensors to convert photoelectric signals into image data to realize the machine's "seeing the world" function. AI vision technology is based on computer vision, through artificial intelligence deep learning method to process image data, can learn the common features and differences of images, and finally automatically identify the target features. In a dangerous production environment, there are generally three ways to monitor violations: First, through manual monitoring, this method is not only time-consuming and labor-intensive, but also unable to monitor the dangerous area around the clock. Second, video monitoring through cameras can re...

AI Technical Summary

Problems solved by technology

In a dangerous production environment, there are generally three ways to monitor violations: First, through manual monitoring, this method is not only time-consuming and labor-intensive, but also unable to monitor the dangerous area around the clock. Second, video monitoring through cameras can realize all-weather real-time monitoring, but it is an after-the-event evidence inquiry and cannot effectively give early warning of violations; third, fixed-site instrument detection, this method is Testing at a designated location, and then entering the production environment after passing the test is a pre-monitoring method. However, in the actual production process, due to the complexity of people's behavior, there are still violations in production after pre-monitoring, so this method is not effective. The identification of irregularities in the production process

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