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.