Machine vision, as the intelligent eye of global intelligence, affects the progress of artificial intelligence to a great extent. The development of machine vision is also the premise of recent hot spots such as unmanned driving, unmanned aerial vehicle and intelligent robot.
What are the applications of artificial intelligence machine vision technology?
As the premise of the development of artificial intelligence, machine vision technology mainly has five typical applications:
Image recognition applications. Image recognition is the use of machine vision to process, analyze and understand the image, in order to identify a variety of different patterns of targets and objects. The most typical application of image recognition in machine vision industry is two-dimensional code recognition. A large amount of data information stored in the TWO-DIMENSIONAL code, through the bar code to track the product management, through the machine vision system, can be convenient to identify the bar code of various material surface reading, greatly improve the efficiency of modern production.
Image detection applications. Detection is one of the most important applications in machine vision industry. Almost all products need detection, and there are many disadvantages of manual detection, therefore, machine vision has many advantages in the application of image detection is also very extensive.
What are the applications of artificial intelligence machine vision technology?
Visual positioning applications. Visual positioning requires that the machine vision system can quickly and accurately find the measured parts and confirm their position. In the field of semiconductor packaging, the equipment needs to adjust the pick head according to the chip position information obtained by machine vision, and accurately pick up the chip and bind it, which is the most basic application of visual positioning in the field of machine vision industry.
Object measurement applications. The biggest characteristic of machine vision industrial application is its non-contact measurement technology, which also has high precision and high speed performance, but non-contact no wear, eliminating the secondary damage potential caused by contact measurement. Common measurement applications include gear, connectors, automotive components, IC pins, twist drills, rodding thread testing, etc.
Object sorting applications. In fact, object sorting application is established in the identification, detection after a link, through the machine vision system image processing, to achieve sorting. In machine vision industrial applications, it is often used for food sorting, automatic sorting of surface defects of parts, cotton fiber sorting and so on.
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