Application and development of machine vision in the coding industry and other industries

The automation industry cannot do without smart manufacturing, and smart manufacturing cannot do without machine vision. Machine vision is a new technology that has developed rapidly in recent years. It uses the combination of optics, mechanics and electronics to make the device have visual functions. Machine vision opens a new page for automation technology. In short, machine vision is to use equipment instead of human eyes to measure and judge. The application of machine vision is mainly manifested in four aspects: 1. Guidance and positioning: The loading and unloading materials are positioned through machine vision, and the robot arm is guided to accurately grasp. 2. Appearance inspection: Inspect whether the products on the production line have quality problems. This link is also a link that replaces most of the labor force. 3. High-precision detection: Some products have high precision, reaching the level of 0.01~0.02 meters or even micrometers, which cannot be detected by the naked eye and must be completed with equipment. 4. Identification: Data tracking and collection are widely used in auto parts, food, medicine and other fields. Taking detection application as an example, the working principle of machine vision is briefly introduced. Industrial cameras are used to collect images of the equipment under test, which is the most important link in machine vision. In order to detect all the required features, the parameters of the light source and the camera need to be adjusted continuously. Then use professional image processing software to convert the analog signal into a digital signal, and then calculate and extract the features to be detected, such as color, whether there are scratches on the surface of the equipment, whether the specifications and dimensions are qualified, whether the surface paint is uniform, etc. Then the output result is fed back to the mechanical end, the equipment is separated, and the unqualified equipment is selected, that is, image acquisition, information processing and classification. 1. Machine vision has huge development potential. The advantage of machine vision system is to improve the quality of the products produced and the automation level of the production line. Especially in some dangerous jobs that are not suitable for manual operation or human eyes are difficult to meet the requirements, at the same time, in the large-scale industrial production process, the use of artificial vision to check product quality is very low in efficiency and accuracy, and the use of equipment for visual inspection The method can greatly improve the production efficiency and the automation level of production. Industry insiders predict that the machine vision market will further open up in the future. At this stage, my country’s machine vision technology is widely used in electronics and semiconductor manufacturing, automotive industry, industrial testing, pharmaceutical testing and packaging, food packaging, printing testing, railway and highway testing, public safety, finance, biomedicine, entertainment, military, and chemistry And scientific research and other fields. The industrial field is undoubtedly the field with the largest proportion of machine vision applications. The important reason is that China has become the processing center of the global manufacturing industry. High-demand parts processing and the corresponding advanced production line transformation have made the application of machine vision products in the field of industrial manufacturing reached its peak. 2. Industrial robot positioning technology The intelligence of robots affects the entire process of industrial evolution. Traditional robots mostly realize various operations through teaching copying or pre-programming, which greatly limits the application of robots. Robot motion control technology with hearing, machine vision and multiple sensors is a model of flexible automated manufacturing technology. By using robot vision control, there is no need to teach or offline programming the motion trajectory of the industrial robot in advance, which can save a lot of programming time and improve production efficiency and processing quality. Let the robot be self-aware like humans: it is not controlled by the program set by humans, but controlled by the robot itself, where it goes, what workpiece to grab, how much effort it uses to grab it, and how it puts the workpiece Where to assemble. The process of self-control is actually to give industrial robots intelligence through machine vision technology. 3. Industrial online monitoring system Machine vision is very active in various application scenarios of industrial online monitoring, such as: visual inspection of printed circuit boards, automatic flaw detection of steel plate surfaces, measurement of parallelism and perpendicularity of large workpieces, container volume or impurities Detection, automatic identification and classification of mechanical parts, measurement of geometric dimensions, etc. Fourth, image recognition to complete data tracking and collection of electronic tags is a new technology developed in recent years. It uses machine vision recognition technology to write or read various quality information related to the product. For example: in the cylinder production line of a four-cylinder engine, the assembly of the main bearing cap on the cylinder is a typical example.