Machine Vision: "Eyes" of Industrial Automation

2023-12-07 10:40

According to the data, since the rise of machine vision, the scale of China's machine vision industry has been expanding, from 10.2 billion yuan in 2018 to 18.1 billion yuan in 2021, with an annual compound growth rate of 21%. It is estimated that the total scale of China's machine vision industry will reach 22.9 billion yuan in 2022. Although machine vision started late in China, it is in the stage of rapid development in recent years.

As a branch of artificial intelligence, machine vision, as its name suggests, is to use machines to replace human eyes to make measurements and judgments. Its working principle is that the machine vision system can convert the captured object into image signal through CMOS and CCD, and transmit it to the special image processing system, and the information characteristics of the captured object will be transformed into digital signal; Then the image system performs various operations according to the signal characteristics, and then controls the field equipment according to the judgment results. From object bar code OCR identification, product appearance dimension measurement, product defect detection to robot arm (mobile device) positioning application, machine vision technology has a wide range of applications, and the manufacturing industry is gradually transforming and upgrading from traditional production mode to automatic production mode. Machine vision can be said to be the other eye of automated detection in the future.

At present, industry has become one of the fields with the largest proportion of machine vision applications. In the production process of 3C consumer electronics, automobile, hardware, medical and other industries, machine vision system has become the epitome of intelligent manufacturing. It plays an irreplaceable role in product size detection, defect detection, character recognition, assembly and positioning, and greatly improves the stability and efficiency of batch product detection, The inevitable error of manual detection is reduced.

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