Promoting the field of machine vision applications will be an inevitable trend in industrial develop

In recent years, the development of the domestic machine vision industry has become more and more mature, and its application fields have become more and more extensive. In particular, the five major applications of machine vision ( image detection applications, visual positioning applications, object measurement applications, object sorting applications, and image recognition applications ) will be an inevitable trend in industrial development.

1. Image detection application:

Inspection is one of the most important applications in the machine vision industry. Optical screening machines and almost all products need to be inspected. However, there are many problems with manual inspection. The accuracy of manual inspection is low. If you work for a long time, the accuracy is even worse. Guaranteed, and the detection speed is slow, which easily affects the efficiency of the entire production process. Therefore, machine vision inspection equipment is also widely used in image detection, such as optical image screening machines, such as the detection of characters on the edge of coins. In the fifth set of RMB issued in October 2000, the anti-counterfeiting function was enhanced on the side of the one-yuan coin. In view of the strict control requirements of the production process, a visual inspection system was installed in the last process of market creation. During the printing process, Color registration and color comparison inspection, printing quality inspection of beverage bottle caps during the packaging process, barcode and character recognition on product packaging, etc., defect detection of glass bottles. The machine vision system detects defects in glass bottles. Its main inspections include size inspection, bottle appearance defect inspection, bottle shoulder defect inspection, bottle mouth inspection, etc.

2.Visual positioning application:

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

3. Object measurement application:

The biggest feature of machine vision industrial applications is its non-contact measurement technology. Since it is non-contact and wear-free, it avoids the hidden danger of secondary damage that may be caused by contact measurement. Machine vision enables mechanical equipment to have the ability to "see", just like people can see objects only if they have eyes. Machine vision measures objects and does not require contact with the product like traditional manual labor, but its high precision and high speed The performance is the same. Not only does it not cause wear and tear on the product, it also eliminates the possibility of secondary damage to the product. This has a particularly significant improvement in the manufacturing level of precision instruments. The measurement of Luoding threads, twist drills, IC component pins, car parts, connectors, etc. are all very common measurement applications.

4. Object measurement application:

The object sorting application is established step by step after identification and detection. The image is processed through the machine vision system, and product sorting is realized by combining the use of robotic arms. For example, in the past production lines, materials were manually placed into the injection molding machine before proceeding to the next step. Nowadays, automated equipment is used to divide materials. Machine vision systems are used to capture product images, analyze images, and output the results. The corresponding materials are then placed in fixed positions through robots, thereby realizing intelligent and intelligent industrial production. Modern and automated.

5. Image recognition application:

Image recognition, simply put, is the use of machine vision to process, analyze and understand images, and identify various objects and targets. It is very powerful. *Typical image recognition should be to recognize QR codes. QR codes and barcodes are extremely common barcodes in our lives. In the production of goods, manufacturers store a lot of data in small QR codes to manage and trace products. As the application of machine vision image recognition becomes more and more widespread, various material surfaces The barcode has become very easy to recognize, read and detect, thereby improving the level of modernization, greatly improving production efficiency, and reducing production costs.

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