In recent years, the rapid development of industrial robots has driven a significant increase in demand for the machine vision market. In the context of the intelligent manufacturing industry 4.0 era centered on high-end equipment manufacturing, with the continuous deepening of the "Made in China 2025" strategy, the industrial intelligent robot industry market is showing explosive growth momentum, and machine vision plays the role of "sharp eyes" in industrial robots, which can be said to have contributed greatly.

The precision computing and processing systems provided by machine vision enable industrial robots to "open up" a pair of eyes. It can simulate biological vision imaging and information processing methods, making robots more like humans, and can flexibly perform operations, recognize, compare, and process solutions, and then generate execution instructions to complete all operations at once.

Machine vision will be widely used in the field of industrial robots in the future, with significant features including the following four points:

01. Guidance and positioning

Visual positioning requires machine vision systems to quickly and accurately locate the measured part and confirm its position. Use machine vision for positioning during loading and unloading, and guide the robotic arm to accurately grasp it. In the field of semiconductor packaging, equipment needs to adjust the pickup head based on the chip position information obtained through machine vision, accurately pick up the chip and bind it. This is the most fundamental application of visual positioning in the field of machine vision.

02. Appearance inspection

Testing the quality of products on the production line is also the most labor-intensive process. In the medical field involving machine vision, its main inspections include size detection, bottle appearance defect detection, bottle shoulder defect detection, bottle mouth detection, etc.

03. High precision inspection

Some products have high precision, such as highly integrated electronic circuit boards, which can reach 0.01-0.02mm or even um level. The human eye cannot recognize it, and machines must be used to complete it.

04. Identification

It is the use of machine vision to process, analyze, and understand images in order to identify various patterns of targets and objects. Can track and collect data. Widely used in automotive parts, aviation parts, plastic parts, hardware parts, etc.

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