Method and system for detecting anti-skid plug and electrostatic clamp in oil unloading area based on AI deep learning

Abstract

The invention discloses an AI deep learning-based oil discharge area anti-skid and electrostatic clamp detection method and system, and the method comprises the following steps: (1) capturing an oil discharge area video stream through a camera device, and carrying out the image coding and decoding of the video stream; (2) carrying out operations such as mosica, persection, zooming, splicing and the like on the decoded image to realize image enhancement; (3) inputting the enhanced training data set into the improved yolov5 algorithm to train the model; and (4) identifying whether the oil tank truck grounding electrostatic clamp is linked with the truck body and whether the anti-skid plug is correctly placed according to the model output result. According to the method, the improved algorithm is applied to small objects such as an anti-skid plug and an oil tank truck grounding electrostatic clamp, and the model recognition precision is greatly improved. And finally, the algorithm model is integrated into embedded equipment to form a real-time intelligent detection system, so that the potential safety hazard of workers on a working table of a gas station during oil unloading of an oil tank truck is reduced, and the large safety accident is avoided.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method and system for detecting anti-skid plugs and electrostatic clips in an oil discharge area based on AI deep learning. Background technique [0002] As an important branch of computer vision, target detection is also the basis for effectively avoiding risks in many security scenarios. However, at present, there is no one in the industry to systematically implement the detection algorithm that operators operate in the unloading area of ​​the gas station. The project we are doing now is also to reduce unsafe hidden dangers for gas stations and avoid such large-scale safety accidents. . [0003] Based on this requirement, since the oil unloading area of ​​the gas station has requirements for the location of the camera, the anti-skid plugs and electrostatic clips in the oil unloading area in the pictures we took are small objects. If multiple workers oper...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a detection method and system for anti-slip plugs and electrostatic clamps in the oil unloading area based on AI deep learning, through our improved algorithm to solve the problem of small objects and low accuracy of occlusion

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