The automatic appearance inspection system for fiberglass tubes breaks through the limitations of traditional machine vision inspection. It uses artificial intelligence deep learning to classify product defects in detail, which not only improves inspection speed and reduces labor costs, but also provides reliable reference data for automatic quality inspection systems, which is of great significance to enterprise quality control.
Currently, the detection accuracy rate has reached 99%, and the classification accuracy rate is 98%.
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