wiseeye
AI-Powered System Automates Quality-Control Process in Textile Industry - Novus Light Today
The Hong Kong Polytechnic University (PolyU) recently developed an intelligent fabric defect detection system, called "WiseEye," which leverages advanced technologies including artificial Intelligence (AI) and Deep Learning in the process of quality control (QC) in textile industry. It helps to save manpower and to enhance the automation management in the textile manufacturing. Supported by AI-based machine-vision technology, "WiseEye" can be installed in a weaving machine to help fabric manufacturers to detect defects instantly in the production process. Through the automatic inspection system, the production line manager can detect the defects, thus helping them to identify the cause of the problems and fix them immediately. "WiseEye" is developed by the Textile and Apparel Artificial Intelligence (TAAI) Research Team, which is spearheaded by Professor Calvin Wong, Cheng Yik Hung Professor in Fashion of Institute of Textiles and Clothing, PolyU.