Automated Vision System Inspection in Textile Manufacturing
topic
Machine vision fabric inspection systems image moving fabric at production speed using line scan cameras with LED or structured light illumination, applying deep learning and traditional image processing algorithms to detect, classify, and map defect locations in real time, generating digital defect maps that enable defect-cut optimisation in garment marker planning to minimise fabric waste from defective areas.
Role
Replaces fatigue-prone human visual inspection with continuous objective automated detection that captures defects missed by tired inspectors, provides quantitative defect frequency and type data for production monitoring, and enables closed-loop feedback to loom and knitting machine control systems that can correct developing defects before significant fabric lengths are produced.