Design Artificial Intelligence Fiber Testing System Aided by Computer

Abstract

With the progress and development of society, in people’s wardrobes, textile clothing belongs to a category of clothing that is used in people’s daily life, and textiles for household goods also occupy most of the market. And with the increasing diversification of textile raw materials, it is more and more important to strengthen the detection of fiber content in textiles. There are many methods for determining fiber content in textiles. In fact, in the fiber inspection process, the high-speed camera can not recognize the image of the fiber surface. Computer-aided image processing and deep learning algorithms are used to realize computer-aided recognition through a series of inspection processes. Computer-aided technology has strong interaction and high accuracy, while artificial intelligence fiber testing technology has great responsibility for product manufacturing. Product model and simulation have an impact on product manufacturing quality and work efficiency. The artificial intelligence fiber testing system and computer-aided technology must be combined to improve the quality of the fiber purchased or sold, so as to obtain higher income for enterprises and provide better services for people. How to use computer-aided technology to serve the design of artificial intelligence fiber testing system to improve the user experience of the system is the purpose of this thesis. This article will discuss the general situation of artificial intelligence fiber testing system, the analysis of computer-aided technology in artificial intelligence fiber testing system, and the application analysis of computer-aided technology in artificial intelligence fiber testing system.