Nowadays, the rapid development of automation technology in China, people have a deep understanding of machine vision, and their views on it have also undergone a great change. The machine vision system improves the degree of automation of production, makes dangerous working environments unsuitable for manual work possible, makes large-scale, continuous production a reality, and greatly improves production efficiency and product accuracy. The ability to obtain information quickly and process it automatically also provides convenience for information integration in industrial production. With the maturity and development of machine vision technology, it is not difficult to find that its application scope is becoming more and more widespread. According to these fields, we can roughly summarize the five typical applications of machine vision. The role that can be played in industrial production.
I. image recognition applications
Image recognition is the use of machine vision to process, analyze and understand images to identify targets and objects in different modes. The typical application of image recognition in the field of machine vision industry is the identification of two-dimensional codes. Two-dimensional codes are one of the common barcodes that we usually use. A large amount of data information is stored in this small two-dimensional code, and the product is tracked and managed through the barcode. Through the machine vision system, the barcode on the surface of the material can be easily identified and read, which greatly improves the efficiency of modern production.
Two-dimensional code recognition for machine vision applications
Second, image detection applications
Inspection is one of the main applications in the field of machine vision industry. Products need to be inspected, but manual inspection has many disadvantages. The accuracy of manual inspection is low. When working for a long time, the accuracy is not guaranteed, and the detection speed is slow and easy Affect the efficiency of the entire production process. Therefore, machine vision is also very common in the application of image detection, such as the detection of coin edge characters. In the fifth set of RMB newly issued in October 2000, the side of the one-round coin has enhanced anti-counterfeiting functions. In view of the strict control requirements of the production process, a visual inspection system was installed in the last process of coinage. In addition, it can also be used for color registration during printing, color comparison inspection, printing quality inspection of beverage bottle caps during packaging, barcode and character recognition on product packaging, and glass bottle defect detection. Among them, the defect detection of glass bottles by the machine vision system also includes the category of medicinal glass bottles. That is to say, machine vision also involves the medical field. The main inspections include size detection, bottle appearance defect detection, and bottle shoulder defect detection. , Bottle mouth detection, etc.
Medical equipment testing
Third, visual positioning applications
Vision positioning requires that the machine vision system be able to quickly and accurately find the part under test and confirm its position. In the field of semiconductor packaging, the device needs to adjust the pickup head according to the chip position information obtained by machine vision, accurately pick up the chip and bind it. This is the basic application of vision positioning in the field of machine vision industry.
Fourth, the object measurement application
The characteristic of the machine vision industry application is its non-contact measurement technology, which also has high accuracy and high speed performance, but non-contact and no wear, which weakens the potential damage caused by contact measurement. Common measurement applications include gears, connectors, automotive parts, IC component pins, twist drills, and Luoding thread inspection.
V. Object Sorting Application
In fact, the object sorting application is built on the link after identification and detection, and processes the images through the machine vision system to achieve sorting. In machine vision industry applications, it is often used for food sorting, automatic sorting of surface defects on parts, and cotton fiber sorting.
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