5 Advantages of Machine Vision in Industrial Automation

Label:Machine Vision, Industrial Automation

Jul 5, 20235342

5 Advantages of Machine Vision in Industrial Automation

Nowadays, the rapid development of machine vision automation has set off an upsurge in the world. Our opinions on it have undergone tremendous changes. The machine vision system has improved the automation of mass production and continuous production, greatly improving industrial production efficiency and product accuracy. At the same time, the ability to acquire information and automatically process it has become extremely fast, providing an effective way for information integration. This advanced technology continues to develop, and the application range is becoming wider.


1. Image recognition


In general, image recognition is an action that image capture device converts the captured object into image information. After being transmitted to a special image processing system, it is converted into a digital signal according to information such as pixel distribution, brightness and color. The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the on-site equipment to perform a series of operations according to the judgment results.


2. Visual positioning


Vision positioning accurately detects the product and confirms the location. The most typical case is that in the field of semiconductor manufacturing. It's difficult to adjust the chip position information to move the pick-up head. Machine vision can solve this problem. It needs to pick up the chip accurately and bind it. This is also the most basic application of visual positioning in the field of machine vision industry.


3. Object measurement


One advantage of the industrial application of machine vision is the non-contact measurement technology. Because of non-contact and no wear, 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 have eyes to see objects.


Machine vision does not need to touch the product like traditional manual to measure the object, but the high precision and high speed performance are the necessary. It not only does not wear the product, but also solves the possibility of secondary damage to the product. It is important to improve the manufacturing level of precision instruments significantly. The measurement of twist drill, IC component pins, auto parts, connectors, etc. are all common measurement applications.


4. Image detection


In daily manufacturing, every product needs inspection to see if it is qualified, and an inspection certificate is required. Inspection is the most popular application in machine vision. In the past when machine vision was underdeveloped, manual naked eye inspection often encountered many problems, such as low accuracy, prone to errors, inability to work continuously and fatigue, time-consuming and labor-intensive. A large number of applications of machine vision have brought production and inspection into a high degree of automation.


5. Object sorting


The object sorting is a link established after identification and detection in the machine vision. The image is processed through the machine vision system, and the product sorting is realized by combining the use of the robotic arm. The most typical case is that in the past production line, materials are placed in the injection molding machine manually. Then the next step is carried out.


Intelligence, automation, digitalization, and informatization are the major development trends of the future manufacturing industry. People are committed to the intelligent transformation and digital upgrade of manufacturing factories. Through continuous efforts and innovation, the development of science and technology can be realized.


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