Five typical applications of machine vision technology in industrial production

Now, the rapidly developing automation technology has set off a boom in my country. Our understanding of machine vision has deepened, and everyone's views on it have changed dramatically. The machine vision system has improved the automation level of large-scale and continuous production, greatly improving industrial production efficiency and product accuracy.

The ability to simultaneously acquire information and automatically process it has become extremely fast, providing an effective way to integrate information for industrial production. Machine vision technology continues to mature and improve, and its application scope is becoming wider and wider. At present, these five major machine vision applications can basically summarize the role that machine vision technology can play in industrial production.

Typical application: object sorting

In the application of machine vision, object sorting is a link established after identification and detection. The image is processed by the machine vision system and the product is sorted by the use of a robotic arm. For example, in the past production lines, materials were placed in the injection molding machine manually before proceeding to the next step.

Now, materials are sorted using automated equipment, which uses machine vision systems to capture and analyze product images and output results. Robots then place the corresponding materials in fixed positions, thus realizing the intelligent, modern, and automated nature of industrial production.

Typical application 2: Image detection

In production and life, every product needs to be inspected to see if it is qualified and needs a certificate of inspection. No one should disagree that inspection is most widely used in machine vision. In the past, when machine vision was not well developed, manual inspection often encountered many problems, such as low accuracy, easy to have errors, unable to work continuously and easy to get tired, and time-consuming and laborious.

The extensive application of machine vision has brought product production and testing into a highly automated state. In specific applications, the more common ones include coin character detection, circuit board detection, etc. As well as the detection of RMB coinage process, the precision requirements are particularly high, there are many detection equipments, and the process is complicated.

In addition, there is positioning detection by machine vision to determine whether the production of beverage bottle caps is qualified or whether there are any problems, detection and recognition of product barcode characters, defect detection of glass bottles, and inspection of medicinal glass bottles. The medical field is also one of the main application areas of machine vision.

Typical application 3: "Object measurement"

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 risk of secondary damage that may be caused by contact measurement.

Machine vision, as the name implies, enables mechanical equipment to have the ability to "see", just like people need eyes to see objects. Machine vision does not need to touch the product like traditional manual measurement, but its high precision and high speed performance are not less, not only does it not cause wear to the product, but also eliminates the possibility of secondary damage to the product.

This has a particularly significant impact on the manufacturing level of precision instruments. The measurement of thread, twist drill, IC component pins, auto parts, connectors, etc. are all very common measurement applications.

Typical application 4: "Visual positioning"

What is "visual positioning"? Visual positioning can accurately detect the product and confirm its position. In the field of semiconductor manufacturing, it is very difficult to adjust the pickup head with chip position information. Machine vision can solve this problem because it needs to accurately pick up the chip and bind it. This is why visual positioning has become the most basic application in the machine vision industry.

Typical Application 5: Image Recognition

Image recognition, in simple terms, is the use of machine vision to process, analyze and understand images, and identify a variety of objects and targets. It is a very powerful function. The most typical image recognition should be the recognition of 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, and manage and trace products in this way. As the application of machine vision image recognition becomes more and more widespread, barcodes on the surface of various materials become very easy to identify, read and detect, thereby improving the level of modernization, greatly improving production efficiency and reducing production costs.