As a fast-growing emerging discipline, machine vision is being used in a wide range of fields. In the past, targets were often identified, tracked, and analyzed with the human eye. Now, due to the development of visual recognition technology, cameras and computers can be used instead of the human eye to achieve a higher degree of automation.
With the rapid development of electronic computer science, image processing technology, pattern recognition technology and theory, the actual research and application value of machine vision is gaining more and more attention, and has achieved remarkable results in many fields.
First, the two major applications of visual technology: quality control and auxiliary production
Throughout the current visual technology applied in industrial production can be roughly divided into two categories: quality control and auxiliary production. Among them, quality control is to replace the manual inspection of the size and appearance of the product to identify defective products. Such equipment has been widely used in domestic and foreign automated production lines.
Auxiliary production refers to the use of visual technology to provide the robot with the basis for action execution. Currently widely used is the two-dimensional positioning technology based on monocular vision. However, since most of the production stations that can be used for two-dimensional visual positioning can be replaced by mechanical positioning, the cost and complexity are simpler than visual positioning, and only a few occasions have to use visual positioning.
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