Surface Defect Detection System for Tiny Columnar Parts Based on Improved YOLOv5
There are not many techniques for detecting surface defects on"fine surfaces".Taking a cylindrical metal part with a diameter of millimeters and a surface defect size of micrometers as a research object,a surface defect detection system for tiny cylindrical parts was designed.First,the technical features of detecting objects and the challenging aspects of"comprehen-sive,detailed,subtle,diverse,and high"detection were analyzed.In accordance with the technical requirements of"full,fine,and micro",a design scheme for the image acquisition device was proposed.This implementation achieved continuous full surface ima-ging on the cylindrical surface of small part.Additionally,a detection algorithm was brought out,based on YOLOv5 and an atten-tion mechanism,in order to tackle the two major technical obstacles of"multiple,high".A method for preparing the experimental dataset was presented,followed by several comparative and ablation experiments that were carried out using existing methods.The experiments demonstrate that the proposed algorithm can effectively detect different defects present on the surface of the parts.The research is implemented in industrial application,resulting in a notable enhancement of effectiveness and precision in surface de-fect detection on small cylindrical parts.The related research is also valuable for the detection of surface defects on other similar parts.
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