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TOMRA 4C
Nut sorting with pretrained LUCAi plus operator-trained local machine learning.
What it does
TOMRA 4C is a chute sorter for nuts and IQF products. It combines pulsed-LED inspection and precise air ejection with LUCAi deep learning and local machine-learning controls, used separately or simultaneously to adapt to changing defects.
Who it is for
Almond processors wanting flexible defect classification on a chute-based line.
What stands out
- LUCAi and local machine learning together or separately
- Pulsed-LED inspection and targeted air ejection
- XCD interface and open cleaning access
Limitations to consider
- Commodity models and defect scope depend on the delivered configuration.
- Headline detection and false-reject figures are vendor claims.
Integrations & connections
Tasks it can help with
Sources & verification
This profile is based on vendor documentation, checked Oct 24, 2026. It is not a hands-on review or a performance benchmark. Unknown details are marked explicitly.
Current 4C AI modes, local training, sensors and ejectionCurrent nuts/almonds portfolio and product applicabilitySuggest a correction