Reverse engineering for textile manufacture using artificial intelligence methods: A Review

Abdelrazek, SHaymaa; Dorgham, Mohamed Elsaied; ELnashar, Hany S; Dawoud, Abeer

doi:10.21608/idj.2024.333122.1210

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	Reverse engineering for textile manufacture using artificial intelligence methods: A Review"
Article 30, Volume 15, Issue 1 - Serial Number 65, January and February 2025, Page 455-467 PDF (1.32 MB)
Document Type: Original Article
DOI: 10.21608/idj.2024.333122.1210
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Authors
SHaymaa Abdelrazek ¹; Mohamed Elsaied Dorgham²; Hany S ELnashar³; Abeer Dawoud⁴
¹1-Technology of operating & maintaining Textile equipment, Faculy of Industry and Energy Technology, 6th of October Technological University, Giza, Egypt 2-Textile Engineer, Faculty of Applied Arts, Helwan university, Egypt
²Professor of textile machinery, Weaving and Spinning Department, Faculty of Applied Art, Helwan University
³Faculty of Computers and Artificial Intelligence, Beni-Suef University, Benisuef, 62511, Egypt
⁴Department of Weaving and Spinning, Faculty of Applied Arts, Helwan University, Egypt
Abstract
Modern artificial intelligence technology is developing quickly, and as it integrates gradually.The use of artificial intelligence technologies in the textile business, together with the spinning sector make the manufacture of textiles ever more accurate, quick, and efficient. By collecting and analyzing big data, artificial intelligence systems can improve production processes, reduce costs, improve quality, and increase productivity. AI methods that can identify patterns in photos have performed remarkably well in object recognition, materials, and image processing in particular in recent years. These algorithms provide precise and quick data-driven solutions, which successfully improve operations' efficacy and efficiency. Textiles can provide valuable information that can be extracted using AI techniques like computer vision, deep learning, and machine learning, which are used to analyze images, videos, and other sorts of data. Reverse engineering is the process of dissecting a system or product to determine its design and functionality. Reverse engineering is a method that can be applied in the textile industry to analyze and dismantle existing textile products in order to make them better or more identical. This article reviews discusses artificial intelligence techniques used in reverse engineering processes within textile production.
Keywords
Artificial intelligence(AI); Reverse engineering; Textile industry; Image processing; Deep learning
Supplementary Files 455-467-Gamal-abs.pdf 455-467-Gamal-abs.pdf

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Reverse engineering for textile manufacture using artificial intelligence methods: A Review"