Broken stitch detection method for sewing operation using CNN feature map and image-processing techniques

作者：

Highlights：

• Direct utilization of feature maps from a pre-trained VGG-16 extracts the sewing stitches successfully without additional training.

• CNN feature map-based broken stitch detection method is proposed.

• The proposed approach is invariant to orientation and detects actual defects with 92.3% accuracy.

• Conditions for real-time detection to real production sites are investigated.

摘要

•Direct utilization of feature maps from a pre-trained VGG-16 extracts the sewing stitches successfully without additional training.•CNN feature map-based broken stitch detection method is proposed.•The proposed approach is invariant to orientation and detects actual defects with 92.3% accuracy.•Conditions for real-time detection to real production sites are investigated.

论文关键词：Garment industry,Sewing defect detection,Broken stitch,Convolutional neural networks,Feature map,Image processing

论文评审过程：Received 3 March 2021, Revised 28 June 2021, Accepted 29 September 2021, Available online 5 October 2021, Version of Record 12 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116014