Machine vision makes equipment smarter

  With the evolution of "machine substitution" in the manufacturing industry, machine vision, which is indispensable in the process of equipment intelligence, will also develop rapidly. And as machine vision technology itself matures and develops, it will be increasingly widely used in modern and future manufacturing enterprises.

According to industry forecast reports, the market size of China's machine vision industry will continue to grow, reaching 3.8 billion yuan in 2016 and reaching 5 billion US dollars by 2018. The new business opportunities brought by the global machine vision market have become the focus of industry manufacturers.

Machine vision technology is mainly used in the semiconductor and electronics industries, such as circuit board printing, electronic packaging, SMT surface mounting, electronic circuit welding, etc., all of which require the use of this technology. Machine vision systems are also widely used in quality inspection.

The detection system of machine vision technology can also automatically detect the entire product, which also plays a very important role in controlling product quality and ensuring product quality. With the needs of market development in various industries, more and more companies are focusing on the continuous introduction of high and new technologies.

In order to ensure that the robot can complete the work tasks smoothly and efficiently and reduce the production preparation time, it is necessary to introduce machine vision technology to realize the identification and positioning of the work target objects. Machine vision and motion control technology are beginning to be used in the field of robotics. In manufacturing applications, the first condition must be correctly positioned to effectively identify, measure, detect and trace.

At present, intelligent robots with visual functions have been used in many fields. For example, in many automated production lines, the last process is to stack the products neatly and then package them into shapes. However, the products in many industries are large in size and weight. If stacking is done manually, it will not only consume a lot of manpower, but also the production efficiency will not be improved. In this case, heavy-duty robots have become the first choice to solve the enterprise's palletizing problem, and machine vision, as the eyes of the robot, is directly related to whether the robot can correctly grab the product.

Machine vision technology is closely related to industrial robots. In applications in the robot industry, how to correctly install the camera position is a critical issue. If a mobile camera is installed on the manipulator, there is a risk of being collided. The best way is to use a fixed installation camera solution. After a part is picked, the camera moves to the next part to be picked while the robot grips and places another part.

For example, the integration of machine vision and machine tools can replace the cost of manual positioning and manual inspection; and the integration of EMS systems with machine vision positioning technology can be used in material management, parts barcode management, and finished product inspection. Compared with traditional machine vision, current machine vision has made great progress and has a wide range of applications.