With the rapid development of China's manufacturing industry, the machine vision industry has also spent the initial period of development in the Chinese market. Not only internationally renowned brands have started operations in China, but also Chinese domestic companies have gradually emerged. Today, people are aware of machine vision. More profoundly, great changes have taken place in its views. With the maturity and development of machine vision technology, it is not difficult for us to discover that its application scope is increasingly extensive. From the initial electronics manufacturing and semiconductor manufacturing enterprises, we have developed into packaging, automotive, transportation and printing industries.
The machine vision system has increased the degree of automation in production, making it possible for hazardous work environments that are not suitable for manual work, allowing large-scale, continuous production to become a reality, and greatly improving production efficiency and product accuracy. The ability to quickly obtain information and process it automatically also provides ease of information integration for industrial production.
In principle, the machine vision system is mainly composed of three parts: image acquisition, image processing and analysis, output or display. Including digital image processing technology, mechanical engineering technology, control technology, light source lighting technology, optical imaging technology, sensor technology, analog and digital video technology, computer software and hardware technology, human-computer interface technology. Only the coordinated application of these technologies can form a complete machine vision application system.
Based on these areas, we can roughly summarize the five typical applications of the machine vision industry. These five typical applications can basically summarize the role that machine vision technology can play in industrial production.
Image recognition application.
Image recognition uses machine vision to process, analyze, and understand images to identify various patterns of objects and objects. The most typical application of image recognition in the machine vision industry is the identification of two-dimensional codes. The two-dimensional codes are the most common ones in common bar codes. A large amount of data information is stored in this small two-dimensional code, and the product is tracked and managed by the barcode. Through the machine vision system, barcodes of various material surfaces can be conveniently read and read, greatly improving modern production. effectiveness.
Image detection application
Detection is one of the most important applications in the machine vision industry. Nearly all products need to be inspected. However, there are many defects in manual inspection. The accuracy of manual detection is low. If you work for a long time, accuracy is not guaranteed. Slow speeds can easily affect the efficiency of the entire production process. Therefore, machine vision is also very extensive in the application of image detection, such as the detection of coin edge characters. In the fifth renminbi newly issued in October 2000, the sides of coins were enhanced with anti-counterfeiting features. In view of the stringent control requirements in the production process, a visual inspection system was installed on the last process of coinage; during the printing process, Color registration and color check, printing quality inspection of the beverage bottle cap during packaging, bar code and character recognition on the product packaging, and defect detection of glass bottles. The defect detection of glass bottles by the machine vision system also includes the category of medicinal glass bottles, which means that machine vision also involves the medical field. Its main tests include dimensional inspection, bottle appearance defect detection, bottle shoulder defect detection, and bottles. Mouth detection and so on.
Visual positioning application
Visual positioning requires the machine vision system to quickly and accurately find the part under test and confirm its location. In the field of semiconductor packaging, devices need to adjust the pickup head according to the position information of the chip obtained by machine vision, accurately pick up the chip and bind it. This is the most basic application of visual positioning in the machine vision industry.
Object Measurement Application
The most important feature of industrial applications of machine vision is its non-contact measurement technology, which also has high-precision and high-speed performance, but non-contact and no wear, eliminating the potential for secondary damage caused by contact measurements. Common measurement applications include gears, connectors, automotive components, IC component pins, twist drills, Luoding thread detection, and more.
Object sorting application
In fact, the object sorting application is based on recognition and detection, and the image processing is performed by the machine vision system to achieve sorting. In machine vision industrial applications are often used for food sorting, automatic sorting of part surfaces, cotton fiber sorting, etc.
At present, the largest application areas of machine vision: electronics and semiconductors, the application of machine vision in the field of high-performance, precision professional equipment manufacturing is very extensive, the most typical is the semiconductor industry in the international scope that led to the rise of the entire machine vision industry, from the upstream The cutting and cutting of wafers to the end of the circuit board manufacturing, patch, rely on high-precision visual measurement for the guidance and positioning of moving parts. In the international market, the demand for machine vision in the semiconductor manufacturing industry accounts for 40%-50% of the market demand in the entire industry.
In the field of electronic manufacturing, as small as capacitors, connectors and other components, as large as mobile phone keyboards, PC motherboards, hard drives, in all aspects of the electronic manufacturing industry chain, almost all can see the machine vision system. Machine vision is divided into application functions, mainly in four areas: measurement, detection, identification, and positioning. In the detection process, 3C automation equipment has the highest application, and 70% of machine vision units are used in this process. In practical applications, the machine vision inspection system can quickly detect the order of the cables, and whether the electronic components are misloaded or not. , connector and battery size compliance.
Specifically, the application of machine vision in the field of electronic manufacturing is mainly to guide the robot to carry out high-precision PCB positioning and placement of SMT components, as well as surface inspection, mainly used in PCB printed circuits, electronic packaging, screen printing, SMT surface mount, SPI solder paste inspection, reflow soldering and wave soldering.
In the automotive field, it is mainly the on-line inspection of assembly and off-line inspection of components, as well as surface inspections, such as panel printing quality inspection, character detection, precision measurement, workpiece surface defect detection, and the detection of its own surface.
With the development of industrialization, the demand for machine vision will be on the rise. The development of machine vision solutions for custom-built Qizhong Smart () believes that with the development of industrialization and special semiconductors, the special image processing technology of machine vision is at the high end. The application of the industry will show an upward trend. The superiority embodied by the embedded products will be unmatched by the card type. With the development of technology, the application of board-type machine vision products in certain fields is gradually being embedded. The product is replaced.
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