Design of an Automatic Detection System for Leather Fabric Defects Based on Machine Vision
DOI:
https://doi.org/10.53469/wjimt.2025.08(08).07Keywords:
Machine vision, Leather fabric, Defect detection, Automatic detection system, Image processingAbstract
The leather fabric defect detection system based on machine vision has significantly improved detection efficiency and product quality. The system adopts high-resolution industrial cameras and advanced image processing algorithms, including image preprocessing, feature extraction, and defect recognition, to achieve real-time online detection of leather fabrics. By closely integrating with the production line, the system can complete the scanning and analysis of large areas of leather fabrics in a short period of time, reducing the time and errors of manual inspection. In the actual application of a leather production enterprise, after the system was put into use, the detection efficiency increased by 30%, and the defect rate decreased from 5% to 2%. These optimization measures not only reduce production costs, but also improve the market competitiveness and customer satisfaction of the enterprise.
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