Artificial Intelligence

Summary

We use AI to inspect fabric for defects, color deviations, and pattern anomalies — leveraging the same high-speed camera pipelines and model training workflows used across our inspection products, repurposed for advanced anomaly detection and predictive analytics.

Need

• High-speed camera integration
• Labeled training data and model training
• Edge or cloud inference deployment

Existing Process

Inspections are often manual or use basic thresholding approaches, which miss subtle defects and cannot scale to high line speeds.

Proposed Process

We apply trained AI models on camera streams to detect and classify defects in real-time, integrate with traceability systems, and produce actionable reports for operators and managers.