白嫩白嫩bbbbbbbbb,黑人巨大videos极度另类,明星mv造梦大全视频星辰影视,国产强被迫伦姧在线观看无码

Current Position >> Home > News> Industry News

20 case studies of machine vision in modern industrial applications

Views:2604

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

主站蜘蛛池模板: 澜沧| 张家港市| 岗巴县| 虹口区| 镇原县| 金山区| 夏河县| 鄂托克前旗| 贺兰县| 陈巴尔虎旗| 安徽省| 兴宁市| 无为县| 崇阳县| 南丹县| 天全县| 旬阳县| 延川县| 博野县| 宁城县| 二连浩特市| 兖州市| 县级市| 集贤县| 霍山县| 孟村| 温宿县| 闻喜县| 宁蒗| 威宁| 开封市| 响水县| 阜城县| 白水县| 康定县| 济宁市| 三都| 高唐县| 密山市| 海丰县| 大厂|