In the context of the industry 4.0 era with intelligent manufacturing as the core, with the deepening of the 2025 strategy of China Manufacturing , the industrial intelligent robot industry market is exploding, and the machine vision that plays the role of industrial robots is the mainstay of the machine ! Then, what kind of "eyes" for machine vision to give industrial robots can greatly help industrial robots to show their strengths in the future industrial automation and intelligent industrial development?
In the context of the industry 4.0 era with intelligent manufacturing as the core, with the deepening of the 2025 strategy of China Manufacturing, the industrial intelligent robot industry market is exploding, and the machine vision that plays the role of industrial robots is the mainstay of the machine! Then, what kind of "eyes" for machine vision to give industrial robots can greatly help industrial robots to show their strengths in the future industrial automation and intelligent industrial development?
Why do industrial robots need a pair of "eyes"?
As the core technology of industrial robots, artificial intelligence has been in a continuous high-speed development stage in the past few years. Many robots have already possessed quite high intelligence features, but they still fall far short of the degree of intelligence envisioned by human beings. Rome can not be built in a day, and robots can not become very intelligent at once.
Machine vision
The real realization of industrial automation requires highly intelligent industrial robots to replace part of human work. Obviously, if you want robots to replace human work well, the first thing to do is to let them "see" Row. When an industrial robot has the ability to observe things, it can judge things well, so that it can be intelligent and flexible to solve some problems.
Therefore, machine vision, which can be measured and judged instead of the human eye, is naturally very important. The machine vision system can convert the ingested object into an image signal through a machine vision product, that is, an image capturing device, and transmit it to a dedicated image processing system to obtain a The shape information of the target is converted into a digitized signal according to the pixel distribution, brightness, color, and the like, and then the image system performs various operations on the signals to extract the features of the target, and then controls the action of the device according to the result of the discrimination.
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