A Defect Detection System for Lamp Cup Rivet Based on Machine Vision

In order to improve the production efficiency of traditional industries and reduce production costs. This study designed a set of automatic detection system for lamp cup rivet defects based on the production characteristics of glass lamp cups of machine vision, which greatly improved the detection efficiency. The system uses high-definition industrial cameras, industry personal computer and servo driver to build a hardware platform, using Gaussian Filter, Thresholding method, Contour Extraction, Contour Screening and Least squares to fit the image processing technology, so the inclination degree of the lamp cup rivet and the depth of the groove are detected and analyzed. This study found that the detection of a single lamp cup took about 1s, and the accuracy of it was high. This system has been tested in factory. After a large number of product tests, the system is stable and reliable with high detection efficiency. The system not only meets the requirements of modern production, but also offers a greatly liberates of labor force.

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