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About this paper
Ray Wai Man Kong, Ding Ning, Theodore Ho Tin Kong
The authors test a convolutional neural network for garment sewing-line defects, training it on black fabric and thread and evaluating seven color-and-defect conditions. The system passes skipped-stitch checks on black, red, and dark-green materials, but fails four conditions: a dark-green broken seam and skipped stitches on light-blue, silver, and fluorescent-yellow materials. These outcomes map limited feasibility, not accuracy or factory use.
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