Workshop potential safety hazard intelligent monitoring system and method based on image recognition

Abstract

The invention discloses a workshop potential safety hazard intelligent monitoring system based on image recognition, and the system comprises a video collection module which is used for obtaining parameter changes in a monitoring workshop, and comprises high-definition cameras which are distributed at a plurality of positions in the monitoring workshop and are used for obtaining images in the workshop; the network transmission module is used for transmitting a signal of the high-definition camera to an analysis system and receiving a control command of the analysis system at the same time; the analysis system is used for importing the received images in the workshop into a detection model, analyzing and evaluating through a computer vision target detection algorithm, identifying whether potential safety hazards exist in the current workshop or not, and identifying whether potential safety hazards exist in the current workshop or not; and the alarm module checks whether to send alarm information to the outside or not according to the result of the analysis system. According to the invention, a computer vision target detection algorithm is combined, real-time performance and accuracy are considered, monitoring efficiency is improved through intelligent and automatic monitoring and calculation, and manpower and material resource cost and inspection time can be saved at the same time.

Description

technical field [0001] The invention belongs to the technical field of workshop safety involved in the subject of safety engineering, and specifically relates to a method for automatically monitoring and identifying potential safety hazards in a workshop by using machine vision, image processing and pattern recognition technologies. Background technique [0002] In recent years, with the development of artificial intelligence technology, image recognition technology in computer vision has obtained a large number of landing applications, such as text recognition in pictures of various product manuals, recognition of various abnormal objects in medical CT scans, weather Recognition of various satellite cloud images in the forecast, face recognition, human body key point recognition, etc. Image recognition technology has been widely used in people's daily life and management decision-making. [0003] In the construction site, ensuring the safe production of operators has alway...

AI Technical Summary

Problems solved by technology

In construction site monitoring, inspectors need to watch the surveillance images for a long time or go to the construction site for inspection, which is time-consuming and laborious. In a large construction site, a large number of personnel are required to monitor all the surveillance images or inspect the construction site at the same time. Not only does it cause a waste of manpower, but the monitoring personnel cannot guarantee that they can monitor all the images. Additional personnel entering and exiting the construction area will also increase the risk of accidents

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