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Unsupervised AI

Anomaly Detection — Unsupervised Surface AI

A learn-from-good model that flags surface deviations without pre-defining or labelling every defect type — porosity, dents, contamination, and surface irregularities. Ideal for variable castings and parts where defects are unpredictable.

Good-parts-only trainingNo defect labels neededSurface-deviation mapsEdge deployment
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Anomaly Detection

Key Features

No Defect Labels
Train on good parts only. The model flags anything that deviates — even defects you have never seen before.
Heatmap Localization
Returns a pixel-level deviation map so operators see exactly where and why a part was flagged.
Great for Castings
Handles natural part-to-part variation while still catching real surface and structural anomalies.

Use Cases

  • Casting porosity and surface irregularity detection
  • Contamination and foreign-object detection on variable surfaces
  • Novel-defect detection where defect catalogue is incomplete

More AI Machine Vision

Core Vision Engine
CT Garud
AI defect detection & segmentation — 10+ defect types in one frame, <50ms per inference.
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No-Code Platform
CT Flow Builder
Drag-and-drop AI inspection pipelines. No programming. Multi-camera. Go live in hours.
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OCR / OCV
CT OCR / OCV
Retrainable OCR for batch codes, expiry dates, CIJ, laser & emboss prints at up to 400 PPM.
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See Anomaly Detection on Your Line

We'll run a free assessment and a no-commitment proof of concept on your actual parts.

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