crossrefElectronics2025-09-18Cited by 16
Textile Defect Detection Using Artificial Intelligence and Computer Vision—A Preliminary Deep Learning Approach
Rúben Machado, Luis A. M. Barros, Vasco Vieira, Flávio Dias da Silva, Hugo Costa, Vitor Carvalho
Fabric defect detection is essential for quality assurance in textile manufacturing, where manual inspection is inefficient and error-prone. This paper presents a real-time deep learning-based system leveraging YOLOv11 for detecting defects such as holes, color bleeding and creas…