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Steel plate surface defect detection and recognition system and method based on machine vision

A defect detection and machine vision technology, used in character and pattern recognition, optical testing flaws/defects, instruments, etc., to achieve the effect of improving detection efficiency, increasing types, and simple operation

Pending Publication Date: 2022-03-01
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection technology realized by traditional optical, electrical and magnetic signals has certain limitations in the detection occasions, that is, in the detection speed, detection accuracy and the number of defects detected, and they are only suitable for some occasions with low detection requirements.

Method used

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  • Steel plate surface defect detection and recognition system and method based on machine vision
  • Steel plate surface defect detection and recognition system and method based on machine vision
  • Steel plate surface defect detection and recognition system and method based on machine vision

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Embodiment Construction

[0043] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0044] Such as figure 1 As shown, a steel plate surface defect detection and recognition system based on machine vision includes a lighting module, an image acquisition module, an acquisition control module, a defect detection and recognition module, and a defect position calibration module. The speed per second moves along its length direction. The detailed composition and structure of each module are introduced below.

[0045] The combination of the lighting module and the image acquisition module constitutes two optical paths, which are placed above the surface of the steel plate to be tested. Wherein, the lighting module includes two high-brightness linear LED light sources for illuminating the surface of the steel plate under test, and the two high-brightness linear LED light sources are placed parallel to the width direction of the s...

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Abstract

The invention discloses a steel plate surface defect detection and recognition system and method based on machine vision, and relates to the field of machine vision detection.The system comprises an illumination module, an image acquisition module, an acquisition control module and a defect detection and recognition module; the illumination module and the image acquisition module are combined to form two light paths which are placed above the surface of a detected steel plate; the acquisition control module comprises a PC and is used for providing a square wave signal, and the image acquisition module is triggered by the square wave signal and is used for acquiring a surface image of a detected steel plate; the defect detection and recognition module is installed on the PC and used for conducting defect detection and positioning on the surface image of the detected steel plate. The system realizes non-contact steel plate surface defect detection and identification, has the advantages of high acquisition speed, high resolution, high detection precision, high detection speed, high classification and identification precision and the like, is simple to operate and low in installation complexity, facilitates later maintenance and use of the detection system, and has a wide application prospect.

Description

technical field [0001] The invention relates to the field of machine vision detection, in particular to a machine vision-based detection and recognition system and method for steel plate surface defects. Background technique [0002] Machine vision technology is an interdisciplinary subject involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition and many other fields. Machine vision technology mainly uses computers to simulate human visual functions, extracts information from images of objective things, processes and understands them, and finally uses them in actual detection, measurement and control, mainly including image collection, processing, analysis, output, Research on storage and display, etc. Surface defects, size, and shape are important characteristics of steel surface quality. Using machine vision to detect can not only eliminate the interference of human subjective factors, but also quantitatively...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06N3/04G06K9/62G01N21/88G06V10/764G06V10/82
CPCG06T7/0004G01N21/8851G06T7/62G01N2021/8887G06N3/045G06F18/24G06F18/214
Inventor 姜乐兵沈晓东吴鑫裴永胜付文杰宋飞虎李静李臻峰
Owner JIANGNAN UNIV
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