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Application of machine vision in online inspection system for cloth production

Publishing Date:2015-06-12 15:57:22    Views:

 

 In order to adapt to the current market requirements, there is an urgent need to develop a fast and accurate online detection method for cloth production. As an extension of human vision, computer vision technology has been increasingly favored in fields such as online inspection of cloth production and industrial surface inspection with the development of digital integration technology and digital image processing technology.

The online inspection system for cloth production is based on machine vision technology and can quickly and efficiently detect the color of cloth and the presence of impurities. Introducing machine vision into the automated transformation of the assembly line can turn the cloth production line into a fast, real-time, accurate and efficient assembly line. On the assembly line, the color and quantity of all pieces of cloth must be automatically confirmed (hereinafter referred to as "cloth detection"). The automatic identification technology of machine vision is used to complete the work that was previously done manually, which can greatly improve production efficiency and automation of production. degree.

machine visionIt is the use of computers to process and analyze image information and draw conclusions without human intervention. It is characterized by automation, objectivity, non-contact and high precision. Compared with image processing systems in the general sense, machine vision emphasizes precision and speed, as well as reliability in industrial field environments.

In modern automated production processes, machine vision systems are widely used in fields such as working condition monitoring, finished product inspection and quality control. The use of machine vision systems can significantly reduce inspection costs, improve product quality, and speed up production speed and efficiency. For modern enterprises, those who are aware of technological development trends and are the first to implement them will undoubtedly be at the forefront of competition.

 

 


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