Exploring the Application Fields of Machine Vision Technology

2023-07-18
Machine vision is a technology that converts images into digital signals for analysis and processing, involving various fields such as artificial intelligence, computer science, image processing, pattern recognition, etc. Machine vision enables machines to have visual functions similar to those of humans, enabling better implementation of various detection, measurement, recognition, and navigation functions.
Compared to the human naked eye, the advantages of machine vision are extremely obvious. For example, machine vision can perform high-speed online detection in various harsh environments without interruption. Due to its ability to quickly obtain a large amount of information and ease of automatic processing, machine vision has gradually been widely used in fields such as production and manufacturing, medical care, traffic navigation, military industry, etc. Machine vision products have not had a long start in China. Currently, they are mainly used in industries such as electronics, automobiles, metallurgy, food and beverage, and component assembly manufacturing.

So what are the specific applications of machine vision in?
1. In various inspection and monitoring applications
2. Automatic color separation and matching in textile, printing and dyeing industries.
3. Automatic inspection, tracking, alarm, etc. at important locations.
4. Application in visual navigation
Cruise Missile guidance, unmanned aerial vehicle flight, autonomous vehicle, mobile robot, precision guidance and automatic cruise capture target and determine distance can not only avoid human participation and the resulting danger, but also improve accuracy and speed.
5. Application in Automatic Image Interpretation

Automatic interpretation and understanding of radiation images, microscopic images, medical images, remote sensing multi band images, Synthetic-aperture radar images, aerospace and aerial survey images, etc.

With the rapid development of domestic manufacturing industry, the requirements for product testing and quality continue to increase, and the industrial automation demand for image and machine vision technology in various industries will also increase. In the future manufacturing industry, machine vision will have greater development space.
 

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