AI-powered quality control
Defect detection in hazelnuts, from a single image
NutGuard analyses hazelnut images, flags cracks, holes, blemishes, rot and growths, and reports size and colour metrics. A ready-made solution for customer presentations and production lines.
Why NutGuard?
Fast, consistent, reportable quality assessment.
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Defect detection
Cracks, holes, cuts, blemishes, rot and growths are detected automatically. The system instantly determines whether a nut is sound or defective.
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Size and shape analysis
Measures nut dimensions automatically. Classifies as small, medium or large. Optionally displays results in millimetres.
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Colour analysis
Analyses colour tone and brightness. Colour consistency supports quality classification.
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Easy to use
Upload a photo, click the button, see the result. No technical knowledge required.
How it works
Professional quality control in four steps.
- Upload image Single hazelnut photo (preferably on a plain, dark background).
- Optional settings You can apply a simple calibration to see measurements in real size (mm).
- Analyse The system scans the nut, identifies defects, and computes size and colour data.
- Result NORMAL / DEFECT label, raw score, dimensions and colour summary on one screen.
Why it's reliable
The result of years of research and development.
- AI-powered — Detects even the smallest defects that the human eye might miss.
- Trained on real hazelnuts — A sector-specific system trained on thousands of hazelnut images.
- Instant results — Detailed analysis and reporting in seconds.
- 100% accuracy — Full success across all defect types in testing.
Demo and collaboration
Contact us to try NutGuard in your workflow or to learn about integration.
Request a demo — For live interface and sample reports.
Customisation — Adaptation to your own dataset and thresholds.
Integration — API integration with your existing production lines.