OverviewSpectrim is an optical grading platform for large fruit designed to reduce labour, tighten packout control and minimise waste. The platform supports apples, avocados, citrus, kiwifruit, stonefruit and other large fruit. LUCAi™ deep learning is available to improve defect detection and classification for selected fruit types.
Key capabilities- Reduce labour and improve grading consistency
- Increase premium packout through tighter control of sorting criteria
- Real-time updates and operator feedback for faster in-line adjustments
- Optional LUCAi™ deep learning to improve detection and classification over time
Benefits (from site content)- Intuitive user interface that simplifies operation and shortens training time for operators
- Real-time intelligence: system learns and provides actionable insights about fruit and defect patterns
- Improved defect tracking, sizing and counting to enable packing closer to tolerance and reduce rework
How LUCAi™ works on SpectrimThe LUCAi™ deep learning option is trainable: the system improves grading performance the more it is taught about your fruit and defect types. LUCAi™ supplies advanced classification across many common defects and assigns severity ratings to support sorting decisions.
Applications & compatibility- Suitable for: apples, avocados, citrus, kiwifruit, stonefruit and other large fruit
- LUCAi™ available for: apples, citrus, stonefruit, kiwifruit (and other specific LUCAi™ modules where offered)
- Compatible with TOMRA sorting platforms and lane configurations (examples include TOMRA 5S Advanced, single/dual lane sorters and multi-lane solutions)
Associated technologies- LUCAi™ (deep learning)
- AI / deep learning methods for optical grading and defect classification
Technical specifications- Function: optical grading and sorting of large fruit to improve premium packout and reduce waste
- Supported fruit: apples, avocados, citrus, kiwifruit, stonefruit and similar large fruit
- LUCAi™ features: trainable models specific to fruit and defects; improves detection and classification with teaching
- Detection examples (product references): high detection rates reported for common citrus defects (rot, sunburn, clipper cut, RBD, long stem, doubles)
- Operational notes: intuitive UI for quick onboarding; real-time feedback for operators; improved sizing, counting and defect tracking
- Platform compatibility: integrable with TOMRA sorting platforms (examples: TOMRA 5S Advanced, SLS/DLS single & dual lane sorters, multi-lane solutions)