Abstract
Surface defects in the bolts can affect the assembly speed of the assembly line, which in turn affects the work of the entire assembly line. At the same time, defects in bolts may also affect the quality of the product. At present, it is difficult for bolt surface defect detection to meet the requirements of fast detection, high recognition rate, and online detection at the same time. This paper studies a defect detection algorithm designed based on an improved template matching algorithm. It solves the problem of difficult template matching for bolted images during online inspection, and has a significant speedup compared to the original template matching algorithm. The final experimental results show that the method can meet the requirements of online, high speed and high accuracy to some extent.
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