Overview of five typical applications of machine vision industry

Nowadays, automation technology is developing rapidly in China, people have a deeper understanding of machine vision, and their views have changed a lot. Machine vision systems increase the automation of production, making hazardous work environments unsuitable for manual work possible, making high-volume, continuous production a reality, greatly improving production efficiency and product accuracy. The ability to quickly access information and automate processing also facilitates information integration for industrial production. With the maturity and development of machine vision technology, it is not difficult to find that its application range is more extensive. According to these fields, we can roughly summarize the five typical applications of the machine vision industry. These five typical applications can also generalize machine vision technology. The role that can be played in industrial production.

Image recognition application.

Image recognition is the use of machine vision to process, analyze, and understand images to identify targets and objects in various modes. Image recognition The most typical application in the field of machine vision industry is the recognition of two-dimensional codes. The two-dimensional code is the most common one of the commonly used bar codes. A large amount of data information is stored in this small two-dimensional code, and the product is tracked and managed through bar code. Through the machine vision system, the bar code of various material surfaces can be easily recognized and read, which greatly improves the modern production. effectiveness.

Image detection application

Detection is one of the most important applications in the machine vision industry. Almost all products need to be tested, and manual detection has many drawbacks. The accuracy of manual detection is low. If it is used for a long time, the accuracy is not guaranteed, and the detection 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 set of RMB issued in October 2000, the side of the round coin enhanced the anti-counterfeiting function. In view of the strict control requirements of the production process, a visual inspection system was installed on the last process of coinage; Color positioning and color inspection, printing quality inspection of beverage bottle caps during packaging, bar code and character recognition on product packaging, and defect detection of glass bottles. Machine vision system for the detection of defects in glass bottles, also includes the scope of medicinal glass bottles, which means that machine vision is also involved in the field of medicine, its main tests include size inspection, bottle appearance defect detection, bottle shoulder defect detection, bottle Mouth detection, etc.

Visual positioning application

Visual positioning requires a machine vision system to quickly and accurately find the part being tested and confirm its position. In the field of semiconductor packaging, devices need 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 most basic application of visual positioning in the machine vision industry.

Object measurement application

The biggest feature of machine vision industrial applications is its non-contact measurement technology, which also has high precision and high speed performance, but non-contact and wear-free, eliminating the potential for secondary damage caused by contact measurement. Common measurement applications include gears, connectors, automotive parts, IC component pins, twist drills, and Luoding thread inspection.

Object sorting application

In fact, the object sorting application is built after the identification and detection, and the image is processed by the machine vision system to realize sorting. It is often used in machine vision industrial applications for food sorting, automatic surface sorting of parts, cotton fiber sorting, etc.

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