Visual Fault Detection

Summary

AI-based vision inspection for woven and non-woven fabrics that detects visual faults in real time to reduce waste and improve yield.

Need

• High-speed inspection cameras and lighting
• High-speed roller/frame and mounting hardware
• AI-powered defect detection and classification software
• Integration with marking, removal, or MES systems

Existing Process

Many factories rely on manual visual inspection which is slow, inconsistent and prone to human error; defects are often discovered too late causing increased waste and rework.

Proposed Process

An inline AI-powered vision system inspects fabric at production speeds, classifies defects (holes, stains, slubs, mis-weaves, yarn faults), and provides real-time alerts, marking and reporting to reduce waste and improve production traceability.