Visual Metrology
This computational practice scans high-resolution photographs of fabric surfaces captured on inspection tables to evaluate thread density, yarn regularity, and structural defects. Algorithms translate pixel arrays into numerical matrices, measuring warp and weft counts against specific buyer tolerances without relying on human operators. Mill standards govern internal production thresholds, whereas export acceptance criteria dictate whether a batch passes foreign customs inspections.
Defect Taxonomy
Slubs, broken picks, and oil stains register as discrete anomalies requiring immediate categorization by severity indices. Software isolates each irregularity through spatial frequency filtering, distinguishing natural fiber variations from mechanical damage incurred during earlier spinning and weaving operations. Bales holding raw flax fibre undergo entirely different grading protocols focused on staple length and moisture content rather than woven geometry.
Batch Certification
Automated classification reports consolidate numerical outputs into official shipment documents accompanying outgoing containers to international buyers. Measurement thresholds remain static across multiple production runs, ensuring consistency from initial flax supply through final finishing stages. Export documentation records final grade assignments alongside lot numbers for complete traceability across the supply chain.