Deep learning for fabric defect detection

• Main Author: Nangia, Saniya
• Other Authors: Zheng Jianmin
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Deep learning; Ensemble models; Computer vision; Defect detection
• Online Access: https://hdl.handle.net/10356/175318
• Institution: Nanyang Technological University

Defects occur in the fabric production process due to machine-related errors or system faults. Deep learning solutions can be employed to increase the frequency and accuracy of detection, while reducing the time, cost and labour involved in textile manufacturing. While traditional models like convol...