Research on SSD Countersink Defect Detection Method Based on Machine Vision

Defect detection of counterbore plays an important role in SSD solid state disk panel automatic detection. Its goal is to accurately find and locate the defect location. At present, the detection of counterbores mostly adopts manual detection, which has the problems of low detection speed, high false detection rate and high missed detection rate. In this paper, the defect detection algorithm of counterbore is studied. After experimental verification, the improved algorithm expansion ⊕ closed operation and Blob analysis tools are finally used for image processing to ensure the integrity of the detection effect and further improve the accuracy of SSD counterbore detection.