The Practice of Artificial Intelligence Assisted Machine Vision in Automatic Defect Detection

As the core of industrial automation, machine vision technology plays an important role in product defect detection. With the rapid progress in the field of artificial intelligence, the integration of deep learning technology has enabled the rapid development of automatic defect detection technology. This article mainly studies how artificial intelligence can assist the practical application of machine vision in the process of automatic defect detection. The basic concepts of machine vision were elaborated, involving system architecture and the fundamental methodology of defect detection. Analyzed the key technologies of machine vision assisted by artificial intelligence, including deep learning applications, improvements in image acquisition and preprocessing techniques, and methods for defect classification and localization. The application of this technology in electronic assembly, automotive parts production, and food packaging industries was also introduced.