Textile manufacturers used to rely on naked eye and random inspection to detect defects. Thanks to the Textile and Apparel Artificial Intelligence Research Team led by Prof. Calvin Wong of the Institute of Textiles and Clothing, the “WiseEye” intelligent fabric defect detection system is developed to help enhance the quality of fabric production.
Embedded with a high-power LED light bar and a high-resolution charge-coupled device camera, “WiseEye” can move back and forth on a rail to capture images of the whole width of woven fabric during the weaving process. The captured images are pre-processed utilising AI-based machine vision algorithm and can be sent to a computer system in real-time to generate analytical statistics and alert for fabric defects. Integrating artificial intelligence, big data and deep learning technologies, the system can detect some 40 common fabric defects with exceptionally high accuracy resolution of up to 0.1 mm/pixel.
“WiseEye” has been put on trial for over six months in a manufacturing environment. When compared with traditional human visual inspection, the system is able to reduce 90% of the loss and wastage in fabric manufacturing process, lower the production cost and enhance production efficiency. Details>>