Industrial Defect Detection Based on Computer Vision

To address the numerous limitations of traditional industrial defect detection, this paper reviews the current research condition of computer vision in the field of industrial defect detection. It summarizes the current technical bottlenecks and development trends. This study takes multiple typical industrial scenarios as the research objects, and conducts an analysis around technical principles and applications. It makes a detailed comparison between traditional and deep learning techniques, analyzes multi-industry applications, datasets, and evaluation systems, and distills the core challenges at both the technical and implementation levels, providing a reference for research and implementation in this field.