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Cold-rolled steel surface detection method based on machine vision

A surface inspection and machine vision technology, applied in the field of inspection, can solve the problems of slow inspection speed, low detection rate, and inability to detect stainless steel, and achieve the effect of stable accuracy, fast execution speed, and guaranteed yield.

Inactive Publication Date: 2014-03-19
WUXI GANGWAN NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has many shortcomings: the test results are easily affected by the subjective factors of the testers; it can only be used to detect the surface of the strip at a very slow running speed, and it is difficult to detect small defects
However, there are still many shortcomings in the current research in this area, such as the detection rate of defects is not high, the detection speed is slow, it cannot meet the detection requirements of high-speed production lines, and it cannot detect stainless steel, etc.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0012] Embodiment: the cold-rolled steel surface detection method based on machine vision of the present embodiment comprises the following steps:

[0013] 1) Set a linear light source and a linear array CCD camera along the cold-rolled steel strip moving direction on the cold-rolled steel assembly line. 60゜.

[0014] 2) The length measurement equipment records the position information of the cold-rolled steel strip.

[0015] 3) Perform template matching and pattern recognition on the image information collected by the linear array CCD camera, detect and locate folds, rolls, bonding, feathers, rust spots and scratches, obtain alarm information and send out audible and visual alarms.

[0016] 4) Combine the alarm information with the position of the cold-rolled steel strip, and use it in the next process to process the cold-rolled steel strip at the defect position.

[0017] The detection method of the invention can effectively control product surface defects and reduce econo...

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PUM

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Abstract

The invention discloses a cold-rolled steel surface detection method based on machine vision, which comprises the steps of acquisition of cold-rolled steel strip image information and position information, template matching and mode recognition to obtain alarm information, and combination of the alarm information with the position information. The method of the invention has the advantages of high execution speed, high accuracy and stable performance.

Description

technical field [0001] The invention relates to a detection method, in particular to a machine vision-based detection method for the surface of cold-rolled steel. Background technique [0002] Surface defects are important factors affecting the surface quality of cold-rolled strip. The traditional detection of surface defects of cold-rolled strip steel is mainly manual visual inspection by inspectors. This method has many deficiencies: the test results are easily affected by the subjective factors of the testers; it can only be used to detect the surface of the strip with a slow running speed, and it is difficult to detect small defects. In the 1970s, Japanese companies such as Nippon Steel, Chiba, Yawata, Wakayama and Xiasong have adopted the "laser scanning surface defect monitoring system" on the production lines of cold-rolled coated sheets and electrical steel sheets. In recent years, with the development of optical sensor technology, the CCD camera is used to continu...

Claims

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Application Information

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IPC IPC(8): G01N21/89
Inventor 高峰
Owner WUXI GANGWAN NETWORK TECH