Moving Fabric Contaminant and Defect Detection
A textiles manufacturer required an automated system to identify small impurities on their moving fabric. The fabric itself was brightly colored (yellow), and the defects were small (as tiny as 8mm) and needed to be caught on a constantly moving line.
Access Defect Library
Please provide your information to view:Moving Fabric Contaminant and Defect Detection
About this inspection application
This is one of 64 real-world defect inspection case studies in the Overview AI defect library. It covers moving fabric contaminant and defect detection in the materials industry. Overview AI provides plug-and-play smart cameras for manufacturing quality inspection, with edge-based AI models for defect detection, anomaly detection, classification, segmentation, OCR, and measurement. Customers typically deploy inspection in hours and see significant improvements in yield, throughput, and consistency versus manual inspection.
Have a similar inspection challenge?
Talk to our team about deploying AI vision on your line. Most applications go from first conversation to working inspection in under a week.
Get a Demo