Analysis of modern systems for computer-aided design of weaving patterns

Abstract

Analysis of modern systems for computer-aided design of weaving patterns

Nikolaeva E.A., Yukhin S.S., Firsov A.V.

Incoming article date: 27.04.2023

This scientific article examines the application of artificial intelligence and machine learning in the textile industry with an emphasis on the automation of the design of weaving weaves. The article discusses research and approaches using neural networks, genetic algorithms, deep learning methods and computer vision to create, optimize and analyze weaves. The main attention is paid to the comparison of existing software solutions that allow automating the design process and significantly improving its productivity, accuracy and quality. The importance of integrating AI and machine learning into the textile industry is emphasized, as this opens up new opportunities for automating processes, improving product quality and increasing the competitiveness of the textile industry at the global level.

Keywords: automation, modern systems, design technologies, computer-aided design, information systems, software, fabric drawings, computer-aided design of weaving patterns, innovations in the textile industry, process optimization, digitalization