Traditional industrial manufacturing, due to the limitations of science and technology, still mainly uses manual detection methods to detect defects on the surface of the product. This method is not only slow and inefficient because of manual limitations and technical backwardness. The process is error-prone, resulting in inaccurate test results.
In today's society, with the emergence and development of computer technology, artificial intelligence and other science and technology, as well as the depth of research, surface defect detection technology based on machine vision technology has emerged. The emergence of this technology has greatly improved the efficiency of production operations, avoiding the accuracy of test results due to operating conditions, subjective judgments, etc., enabling better and more accurate surface defect detection, and more rapid identification of product surface defects. .
Product surface defect detection is a kind of machine vision technology, which is to use computer vision to simulate the function of human vision, from the actual physical image acquisition, calculation, and finally the actual detection, control and application. Surface defect detection of products is an important part of machine vision inspection. The accuracy of its detection will directly affect the quality of the final product. As the use of manual inspection methods can no longer meet the needs of production and modern manufacturing and manufacturing, the use of machine vision inspection is a good way to overcome this, the widespread application of surface defect detection system has promoted the high quality production and manufacturing of enterprise factory products. The development of intelligent automation.
Vision Dragon Dragon Vision uses surface defect detection to improve the accuracy and efficiency of the inspection. Then, there are several steps to take care of before making a product surface inspection. Firstly, the image acquisition system is used to collect and analyze the texture images on the surface of the image. Secondly, the collected images are processed step by step to make the product surface defects be classified according to their unique regional characteristics. Third, The target area of ​​the scratch is further analyzed in the above classification area so that the range is more accurate and accurate. After the above three-step processing, the product surface defect areas and features can be further confirmed, so that the basic steps of surface defect detection are completed.
“Vision Dragonâ€, as a professional supplier of machine vision and automated inspection systems, provides users with a professional product surface defect detection program, uses machine vision technology to improve the user's production efficiency, makes the production more detailed, the division of labor is more clear, at the same time, reduced The company's labor cost expenditure saves money and realizes the integrated development of machine intelligence.
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