The Hong Kong Polytechnic University has developed an intelligent fabric defect detection system, called “WiseEye”, which leverages advanced technologies including artificial intelligence and deep learning in the process of quality control in the textile industry. The system effectively minimises the chance of producing substandard fabric by 90 per cent, substantially reducing loss and wastage in the production.
It helps to save manpower as well as enhance automation management in textile manufacturing. Supported by AI-based machine-vision technology, the novel 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 easily 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 Research Team, which is spearheaded by Prof Calvin Wong, Cheng Yik Hung Professor in Fashion of Institute of Textiles and Clothing, PolyU.
