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This research article presents a button defect detection system utilizing the YOLO algorithm, aimed at improving the efficiency and accuracy of identifying defects in buttons compared to traditional manual methods. The system requires only a batch of button sample images for training and can automatically detect defects, thereby reducing labor costs and error rates. The study demonstrates the successful implementation of the system using OpenCV and Microsoft Visual Studio, showcasing its potential in indust
- Author
- marwaissaoui895
- Language
- EN