Method and system for detecting appearance defects of magnets

Abstract

The invention discloses a method and device for detecting magnet appearance defects. Firstly, binary processing is performed on the image of the magnet to be detected, and secondly, feature extraction is performed on the binary image of the magnet, and according to the extracted image features, determine The defect type, defect position and defect size of the magnet to be detected. Finally, according to the defect position and defect size of the magnet to be detected, it is determined whether the magnet to be detected is qualified. In this way, the products that meet the process requirements can be identified accurately and quickly, and the misidentification caused by using the same identification standard can be reduced.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a method and system for detecting magnet appearance defects. Background technique [0002] The main production process of metal workpieces is machining, stamping, precision casting, powder metallurgy, metal injection molding, dimensional inspection, appearance defect inspection, etc. Affected by the manufacturing process throughout the production process, the size and appearance of the workpiece will be unqualified to a certain extent. Among them, appearance defects mainly include: gaps, sticky materials, cracks, indentations, pinholes, scratches and blisters, etc. If workpieces with appearance quality defects flow into the next production process, the assembly will be blocked and deformed, which will affect the quality of the assembled parts. potential economic losses and reputational risks. [0003] The traditional appearance defect detection method has manual visu...

AI Technical Summary

Problems solved by technology

The speed of the automated production line is very fast, and the human eye cannot quickly capture accurate defect information, especially some small defects, and the human naked eye cannot distinguish whether it is qualified or not, which leads to the problems of low defect detection accuracy and high false detection rate

[0004] At present, the inspection and sorting of the appearance defects of magnets requires a lot of labor, including the defect inspection and sorting of product gaps, foreign matter adhesion, cracks, indentations, pinholes, and paint peeling. Due to the high speed of the automated production line, the human eye cannot quickly Accurate defect information is captured, especially for some small defects, and the naked eye cannot distinguish whether it is qualified or not, which causes the problems of low defect detection accuracy and high false detection rate; When identifying the appearance defects of the magnet, the judgment method of the unified standard of the overall image is adopted. When some defects are qualified products within the standard requirements of the process, they will also be judged as unqualified products, resulting in misjudgment

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