20 case studies of machine vision in modern industrial applications
Supersonic is the earliest and most dedicated company specializing in lithium battery visual defect detection in China. Machine vision technology is one of the core competitiveness of Supersonic products. Products such as machine pole piece defect detection system, online defect detection and size measurement system of die-cutting machine and slitting machine have been widely used in the industry. But, do you know? In modern industrial applications, machine vision has been widely used in many industries. Here we will learn more about machine vision and share 20 typical cases of machine vision application.
Machine vision system: It is to use machines instead of human eyes for measurement and judgment. The vision system refers to converting the captured target into an image signal through machine vision products (that is, image capture device, which is divided into CMOS and CCD), and sending it to a dedicated image processing system. Digitized signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination. Is a valuable mechanism for production, assembly or packaging. It is invaluable in its ability to detect defects and prevent defective products from being shipped to consumers.
Compared with manual operation, machine vision system has the following advantages:
? Accuracy - Due to the physical limitations of the human eye, even if the human eye relies on a magnifying glass or microscope to inspect the product, the machine will still be more accurate because it is capable of accuracy to the thousandth of an inch.
? Repeatability—the machine can perform inspections in the same way again and again without getting tired. But the human eye detects a product subtly differently every time, even if the product is identical.
? Speed—the machine can inspect products faster. Especially when detecting high-speed moving objects, such as on a production line, machines can improve production efficiency, but humans cannot.
? Objectivity - There is another fatal flaw in human eye detection, which is the subjectivity brought about by emotions. The detection results will change with the mood of the workers, but the machine has no emotions, and the detection results are naturally very impressive and reliable.
? Cost—Since machines are faster than people, an automated inspection machine can take on the tasks of several people.
? And the machine does not need to stop, will not get sick, and can work continuously, so it can greatly improve production efficiency.
The machine vision system is characterized by improving the flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the process of mass industrial production, the efficiency and accuracy of using artificial vision to check product quality is low. , the use of machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing. Products can be identified, measured, tested and guided on the fastest production line, and production tasks can be completed with quality and quantity guaranteed.
Application Cases of Machine Vision
1. Lithium battery pole piece detection system
During the production process of lithium battery pole pieces, defects such as exposed foil, dark spots, spots, and material dropouts will occur due to coating machines and roller presses, and the pole pieces will be manually inspected after production.
The detection system can replace the manual detection of pole pieces, select defective pole pieces, and realize the automation of pole piece detection.
2. Battery product positioning detection
3. Partial chip defect detection
4. Front and back detection of LED chips
5. LED chip polarity detection
6. Detection of FPC connector
7. Printer transparent plastic detection
8. Product size and positioning angle detection
9. Smart card OCR character detection
10. LCD printed circuit positioning detection
11. Chip inductance detection
12. Automatic patch positioning hole detection
13. Position coordinate positioning of electronic products
14. Drug defect detection
Through machine vision, it is possible to detect the defects of tablets, mosquito contamination, missing packaging, capsule powder leakage and other adverse conditions that may occur during the packaging of tablets.
15. Mobile phone casing assembly inspection
16. Connector PIN foot flatness detection
17. Screw size inspection
18. Assembly gap detection
19. Smart card location detection
20. Outline dimension detection
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