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3D machine vision brings a new experience to the product

Most people use vision to observe the world. About 80% of the information people obtain from the outside world is obtained visually. 3D machine vision is a way for machines to perceive visual information.

3D machine vision technology has completed the practical use of perfect products. In the age of information, machine vision technology is very important. Unlike human vision, 3D machine vision is mostly used to identify "things." The machine vision product image signal replaces the suction target, and then transmits it to the image processing system to obtain the morphological information, and then converts it into a digital signal according to the pixel distribution and brightness, color and other information. The operation of the signal is the characteristic of the image system for the extraction target and controls the scene The action of the device.

The characteristic of machine vision is that it can automatically acquire and analyze specific images. 3D machine vision scenes are relatively stable. There are few types of recognition in the same application. They are regular and regular, and they have high requirements for accuracy and processing speed. However, most of them require real-time, and the processing speed is very critical.

The vision system has been applied in agriculture, industry, medicine, etc. due to its advantages of non-contact and strong anti-interference ability on site. As long as it requires object recognition, feature judgment and detection, machine vision can show its talents and complete tasks quickly and well.

A typical 3D machine vision system includes light source, lens, high-speed camera, frame grabber and vision processor. China's machine vision is developing rapidly now, and the fastest development is system integration and services. It has launched customized system products in a certain market segment to solve the needs of customer segments and is an important trend for the development of China's machine vision enterprises.

Editor:UTech Time:Jun 04,2019
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