The Evolution of Industrial Defect Detection: From Traditional Image Processing to Deep Learning
An in-depth analysis of the technical evolution of industrial surface defect detection. Comparing the pros and cons of traditional morphology-based machine vision algorithms with modern deep learning models (YOLO, semantic segmentation, unsupervised anomaly detection), and exploring the challenges of model deployment on edge industrial PCs.