Standardized Visual Defect Classification Methods for Greige Cloth Inspection
Standardized greige inspection combines calibrated D65 illumination and 4-point scoring to convert visual cloth defects into precise commercial deductions.
Machine Vision Inspection
Automated Detection
Continuous optical scanning systems utilize high-resolution digital line-scan cameras and specialized lighting arrays to detect cloth defects on moving fabric webs. Modern machine vision inspection platforms process high-speed optical data to identify, categorize, and log fabric surface irregularities such as slubs, broken picks, oil spots, and loose ends on open-width linen. Image processing algorithms compare live surface textures against baseline morphological models of clean linen cloth.
System Architecture
Line-scan camera modules mounted above and below the cloth run capture real-time images across widths exceeding two hundred centimeters. Machine computers run image segmentation filters that differentiate harmless natural flax slubs from unacceptable structural defects like holes or missing warp ends. Digital coordinate encoders map the precise linear location and lateral position of every detected flaw, storing the data in an inspection roll map.
Instant alerts stop the winding frame when severe repetitive faults such as reed marks are identified.
Roll Classification
Digital perch logs generated by machine vision inspection assign demerit points to the roll without manual operator bias. Inspection software compiles point totals, categorizes rolls into first or second commercial grade, and exports digital cut maps to downstream garment cutting tables. Quality reports attach directly to mill shipping manifests for customer acceptance verification.