Industrial vision is the core area of ​​industrial automation, including key tasks such as detection, identification, measurement, and positioning. AI technology that is good at solving visual perception problems has become an important entry point for creating value. Today, the global manufacturing industry is facing tremendous industrial upgrading pressure. Except for a few large-scale production companies in the head, most manufacturing production lines face the contradiction of rapid iteration of demand and insufficient information, automation, and flexibility. On the one hand, the rapidly changing global market calls for on-demand production, on-demand customization, and on-demand iteration. High-efficiency production line; on the other hand, difficult data collection, difficult connection, low degree of automation, lack of collaboration between automated stations, difficult quantitative evaluation and precise attribution of yield and other practical problems, which together constitute the overall challenge of improving manufacturing efficiency .