In recent years, rising wages and labor shortages have also prompted companies to increase investment in automation technology to improve production efficiency. With the market development needs of various industries, more and more companies are focusing on the continuous introduction of high-tech. Machine vision is a tool that can help factories reduce pollution and achieve high efficiency at lower costs. To ensure that robots can complete work tasks smoothly and efficiently and reduce production preparation time, it is necessary to introduce machine vision technology to achieve the identification and positioning of work target objects. Machine vision and motion control technologies are beginning to be used in the field of robotics. In manufacturing applications, accurate positioning is a prerequisite for effective identification, measurement, detection, and traceability. With the evolution of "machine replacement" in the manufacturing industry, machine vision, an indispensable part of the intelligent equipment process, will also develop rapidly. With the development of China's processing and manufacturing industry, the demand for machine vision technology and products will gradually increase, machine vision products will become more abundant, and the level of detection technology will continuously improve. Automated detection systems based on the machine world will be widely used in various fields and occasions of production and life. Machine vision systems will enable people's production activities to develop in a more intelligent and convenient direction. It is foreseeable that with the maturity and development of machine vision technology itself, it will be more and more widely used in modern and future manufacturing enterprises.

　　Currently, intelligent robots with visual functions have been applied in many fields. For example, on many automated production lines, the last step is to stack products neatly and then package them. Many products in many industries are large in size and weight. If manual stacking is used, it will not only consume a lot of manpower, but also the production efficiency cannot be improved. In this case, heavy-duty robots have become the preferred solution for enterprises to solve the palletizing problem, and machine vision, as the eyes of the robot, directly affects whether the robot can correctly grasp the product. Machine vision makes equipment more intelligent.

　　The detection system of machine vision technology can also automatically detect the entire product, which plays a very important role in controlling product quality and ensuring product quality. Machine vision technology is mainly used in the semiconductor and electronics industries, such as printed circuit board printing, electronic packaging, SMT surface mounting, electronic circuit welding, etc., all of which require the use of this technology. Machine vision systems have also been widely used in quality inspection. Machine vision technology is closely related to industrial robots. In the application of robots, how to correctly install the camera position is a key issue. If it is installed on the manipulator, it is a mobile camera, and there is a risk of collision. The best method is to use a fixed camera scheme. After a part is picked up, the camera moves to the next part to be picked up, while the manipulator picks and places another part. For example, the integration of machine vision and machine tools can replace the cost of manual positioning and manual inspection; after the integration of the EMS system and machine vision positioning technology, it can be applied to material management, parts barcode management, and finished product inspection. Compared with traditional machine vision, today's machine vision has made great progress and has a wide range of applications.

　　In machine vision research, simply using static or instantaneous visual information acquired in an ideal environment as input is far from enough to meet the requirements of understanding the complex objective world. If machine vision, machine hearing, machine smell, and machine touch can be organically combined, and multiple information can be integrated, it may be possible to break through the limitations of single visual information. This fusion includes not only multi-sensor fusion, but also fusion of various information channels within the system, fusion of system modules, and fusion of various information processing methods.

　　According to an authoritative industry forecast report, the market size of China's machine vision industry will continue to grow, reaching 3.8 billion yuan in 2016 and 5 billion US dollars by 2018. An important purpose of machine vision research is to build a general visual information system for various visual tasks. From the current research level and technical level, it is unlikely to build a machine vision system comparable to the human visual system in the short term. However, it is possible to first establish a local special-purpose visual system for specific applications, and then develop it into a more complete general system. This is a way to achieve the ultimate goal mentioned above.