In recent years, rising wages and labor shortages have also prompted companies to increase investment automation technology to increase productivity. Machine vision is a tool that can help factories reduce pollution and achieve high efficiency at lower cost. With the evolution of the “machine substitution†in manufacturing, machine vision, which is indispensable for the intelligent process of equipment, will also develop rapidly. It can be expected 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. 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 reaching 5 billion dollars by 2018. The new business opportunities brought by the global machine vision market have become the focus of industry players. Machine vision technology is mainly used in the semiconductor and electronics industries, such as circuit board printing, electronic packaging, SMT surface mount, electronic circuit soldering, etc., all need to use this technology. Machine vision systems are also widely used in quality inspection. Machine vision makes devices smarter The inspection system of machine vision technology can also automatically detect the whole product, which is also very important for controlling the quality of products and ensuring the quality of products. With the development of various industries, more and more enterprises pay more attention to the continuous introduction of high technology. In order to ensure that the robot can successfully complete the task and reduce the production preparation time, it is necessary to introduce machine vision technology to realize the recognition and positioning of the target object. Machine vision and motion control technologies are beginning to be used in the field of robotics. In manufacturing applications, the first conditions must be correctly positioned to effectively identify, measure, detect and trace back. At present, intelligent robots with visual functions have been applied in many fields. For example, on many automated production lines, the last step is to stack the products neatly and then package them. In many industries, the products are bulky and heavy, and if they are stacked manually, they not only consume a lot of manpower, but also the productivity is not improved. In this case, the heavy-duty robot becomes the first choice to solve the problem of enterprise palletizing, and machine vision as the eye of the robot is directly related to whether the robot can correctly grasp the product. Machine vision technology is closely related to industrial robots. In the robot industry, how to properly position the camera is a key issue. If the camera is mounted on a robot, there is a risk of collision. The best way is to use a fixed camera solution. After a part is picked, the camera moves to the next piece that is being grabbed while the robot grabs another part. For example, the integration of machine vision and machine tool will replace the cost of manual positioning and manual inspection; while the EMS system is integrated with machine vision positioning technology, it can be applied to material management, part barcode management and finished product inspection. Compared with traditional machine vision, the current machine vision has been greatly improved and the range of applications is very wide. Future machine vision will be integrated with multi-party technology An important goal of machine vision research is to build a universal visual information system for a variety of visual tasks. From the current research level and technical level, it is unlikely that a machine vision system that can be analogized to the human visual system will be built in the short term. However, it is possible for the Prime Minister to establish a localized dedicated vision system for specific applications and to develop a more complete general system, which is a way to achieve the above-mentioned ultimate goal. 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 be more abundant, and the level of inspection technology will continue to improve. The automatic detection system based on the machine world will be widely used in production and life. Fields and occasions. Machine vision systems will make people's production activities move toward smarter and more convenient directions. In machine vision research, using only static or instantaneous visual information acquired in an ideal environment as input is far from satisfying the requirements of understanding complex and objective worlds. If you can combine machine vision, machine hearing, machine sense, machine touch, etc., and combine various information, it is possible to break through the limitations of a single visual information. The fusion here includes not only multi-sensor fusion, but also the integration of various information channels within the system, the integration of system modules and the integration of various information processing methods.
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