Production Defect Detection and Classification
topic
Coated fabric production defect detection uses inline camera vision systems scanning the coated surface at production speed to detect coating voids, streaks, bubbles, tears, and substrate defects that appear as brightness or texture anomalies in the image, with defect classification algorithms differentiating and recording defect type, size, and position within the roll for quality mapping, grade classification, and process troubleshooting that prevents undetected defective material from reaching customers.
Role
Provides automated defect detection at production speed that human visual inspection cannot achieve for the wide, fast-moving substrate surfaces of coating lines, enabling defect location recording within rolls that allows selective cutting to remove defective sections before delivery and providing the defect frequency data required for process control that identifies coating conditions causing elevated defect rates for systematic improvement.