The machine vision inspection system can quickly and accurately find the part to be tested and confirm its position. The machine vision is used to locate the loading and unloading materials, and guide the manipulator to grasp accurately. In the field of semiconductor packaging, the device needs to adjust the pickup head according to the chip position information obtained by machine vision, pick up the chip accurately and bind it. This is the basic application of vision positioning in machine vision inspection system in the industrial field.
Statistics show that in 2019, the global market scale of machine vision detection system technology used in the field of industrial automation will reach about 5.37 billion US dollars, and it is expected to reach 12.29 billion US dollars by 2023, with an annual compound growth rate of 21%, and a huge market potential.
Appearance inspection function is an important application of visual inspection system technology in the application of automatic production line. Whether the product has quality problems, the integrity quality inspection, identification, classification, part position and direction, dimension measurement, code reading identification and traceability, surface / color difference detection, automatic assembly line operation, etc.
The precision of some products is high, reaching 0.01 ~ 0.02 M or even u level, which cannot be detected by human eyes, and high-precision detection must be completed by machine.
Machine vision processes, analyzes and understands images to identify objects and objects with different patterns. It can be used in auto parts, food, medicine and so on.
The application of machine vision detection system in object sorting is to stop the image processing and complete the sorting after identification and detection. In the application of machine vision inspection industry, it is often used for food sorting, express active sorting, cotton fiber sorting, etc. saving labor, improving speed and improving product quality have become the only way for enterprises to survive in the current economic situation.