Application of machine vision technology in canning and packaging industry

With the rapid development of automation technology in our country, people have a deeper understanding of machine vision , and their views on it have also undergone great changes. Machine vision systems have improved the automation of production, made dangerous working environments unsuitable for manual work possible, made large-volume and continuous production a reality, and greatly improved production efficiency and product accuracy. The performance of quickly acquiring information and automatically processing it also provides convenience for information integration in industrial production. As machine vision technology matures and develops, it is not difficult to find that its application scope is becoming more and more extensive. Based on these fields, we can roughly summarize the five typical applications of machine vision. These five typical applications can also basically summarize the application of machine vision technology. The role it can play in industrial production.
1. Image recognition application
Image recognition is the use of machine vision to process, analyze and understand images to identify various targets and objects of different modes. The most typical application of image recognition in the field of machine vision industry is the recognition of QR codes. QR codes are the most common type of barcodes we usually see. Store a large amount of data information in this small QR code, and track and manage products through barcodes. Through the machine vision system, barcodes on the surfaces of various materials can be easily identified and read, greatly improving the efficiency of modern production.
2. Image detection application
Inspection is one of the main applications in the machine vision industry. Almost all products need to be inspected. However, manual inspection has many disadvantages. 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 can easily affect the efficiency of the entire production process. Therefore, machine vision is also widely used in image detection, 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 coinage.
In addition, it can also be used for color registration and color comparison inspection in the printing process, printing quality inspection of beverage bottle caps during the packaging process, barcode and character recognition on product packaging, defect detection of glass bottles, etc. Among them, the machine vision system's defect detection of glass bottles also includes the category of pharmaceutical glass bottles, which means that machine vision also involves the pharmaceutical field. Its main inspections include size inspection, bottle appearance defect inspection, and bottle shoulder defect inspection. , bottle mouth detection, etc.
3. 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 based on the chip position information obtained by machine vision, accurately pick up the chips and bind them. This is the basic application of visual positioning in the machine vision industry.
4. Object measurement applications
The characteristic of machine vision industrial applications is its non-contact measurement technology, which also has high-precision and high-speed performance, but is 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, Luoding thread inspection, etc.
5. Object sorting application
In fact, the object sorting application is established after identification and detection. The image is processed through the machine vision system to achieve sorting. In machine vision industrial applications, it is often used for food sorting, automatic sorting of surface defects on parts, cotton fiber sorting, etc.
There are cases involved in these five typical applications.
They are shown in the following introduction:
1. Image recognition:
code detection equipment (barcode, QR code, character reading, etc.). These equipment are widely used in filling and packaging production lines to read barcodes or QR codes. According to The read results are sorted.
2. Image inspection:
Optical inspection machines are now widely used in major domestic can factories. Optical inspection machines are mainly used to detect the presence or absence of foreign matter, scratches, oil stains, deformation and other defects inside the tank.
3. Visual positioning:
Positioning equipment is also used in many factories. It is used to locate a very small character on the iron plate to determine the position of the clamp to grab the iron plate.
4. Object measurement:
Mainly reflected in measuring the appearance dimensions of objects such as length, width, diameter, etc. Used to help customers eliminate defective products. Improve production quality.
5. Object sorting:
This application belongs to the summary of the above four applications, and its practical application cases are also reflected in the above aspects.