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5 Most Common Applications of Machine Vision

Now, with the rapid development of automation technology, our understanding of machine vision has deepened, and everyone's perception of it has changed dramatically. The machine vision system has improved the automation of mass production and continuous production, greatly improving industrial production efficiency and product accuracy.

The ability to simultaneously acquire information and automatically process becomes extremely fast, providing an effective way for information integration in industrial production. Machine vision technology continues to mature and progress, and the scope of application 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.

Object Sorting

In the machine vision application link, the object sorting application is a link established after identification and detection. The image is processed through the machine vision system, and the product sorting is realized by combining the use of the robotic arm. For example, in the past production line, materials were placed into the injection molding machine manually, and then the next step was carried out.

Now it is using automated equipment to divide materials, in which machine vision systems are used to capture product images, analyze images, output results, and then use robots to place corresponding materials in fixed positions, thereby realizing intelligent and efficient industrial production. Modernize and automate.

Image Detection

In production and life, each product needs to be inspected to see if it is qualified, and an inspection certificate is required. If it is said that inspection is the most widely used in machine vision, no one should have any objections. 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, and time-consuming and labor-intensive.

A large number of applications of machine vision have brought product production and inspection into a high degree of automation. In specific applications, the more common ones are coin character detection, circuit board detection, etc. As well as the detection of the RMB coinage process, the precision requirements are particularly high, and there are many detection equipments and the process is complicated.

In addition, there are machine vision positioning detection, whether the production of beverage bottle caps is qualified and whether there is a problem, as well as the detection and recognition of product barcode characters, glass bottle defect detection, and medical glass bottle detection. The medical field is also a field of machine vision. One of the main application areas.

Object Measurement

The biggest feature of the industrial application of machine vision is its 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, as the name suggests, is to enable 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 the traditional manual to measure the object, but its high precision and high speed performance are the same, not only does not wear the product, but also solves the possibility of secondary damage to the product.

This has a particularly obvious improvement in the manufacturing level of precision instruments. The measurement of Luoding thread, twist drill, IC component pins, auto parts, connectors, etc. are very common measurement applications.

Visual Positioning

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

Image ldentification

Image recognition, simply speaking, is to use machine vision to process, analyze and understand images, and recognize various objects and targets. It is very powerful. The most typical image recognition should be to recognize the QR code. QR codes and barcodes are extremely common barcodes in our lives. In the production of commodities, manufacturers store a lot of data in small two-dimensional codes. In this way, products are managed and traced. As the application of machine vision image recognition becomes more and more extensive, various material surfaces Barcodes become very easy to be recognized, read and detected, thereby improving the level of modernization, greatly improving production efficiency, and reducing production costs.

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