Automatic Fabric Inspection Vision Systems
topic
Online fabric inspection systems installed on loom take-up sections use line scan cameras with structured LED illumination to image the woven fabric surface at production speed, applying deep learning defect detection algorithms that identify weft breaks, float defects, reed marks, knots, and colour variations in real time with defect location mapped onto fabric roll position coordinates and logged to quality management systems.
Role
Provides continuous automatic fabric quality monitoring that captures defects missed by operator visual surveillance while generating quantitative defect frequency and type data for quality management analysis, enabling defect cause investigation through correlation of defect occurrence with loom process data recorded at the same fabric position and time during production.