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Sorting and feeding line InVision²

Sorting and feeding line - InVision² - Tomra
Sorting and feeding line - InVision² - Tomra
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Description

Overview
InVision² is a fruit sorting and grading platform equipped with LUCAi™ deep learning software for high-precision optical grading. Designed for packhouses and processors, the system supports consistent grading across batches, varieties and operators while enabling improved pack-out and reduced fruit loss. LUCAi™ provides plug-and-play pretrained models and tools to adapt grading severity to seasonal and market requirements.

Benefits
  • Precise grading: deep learning models and a pretrained model library developed with growers and packers to improve classification accuracy.
  • Operational consistency: automated results reduce dependence on manual quality control and operator experience.
  • Yield and pack-out improvement: optimized sorting reduces waste and increases usable yield for packing lines.
  • Ease of integration: user-friendly LUCAi™ interface lowers training needs and accelerates deployment.

Cherry grading capabilities
The InVision² with LUCAi™ package includes ready-to-deploy models tuned for cherries and multiple varieties. Key capabilities include:
  • Detection of edge cracks, pacman-shaped defects and open sutures.
  • Identification of cosmetic blemishes, stem pulls and improved spur detection.
  • Adjustable grading severity to reflect seasonal dynamics and market preferences without requiring highly specialised operators.
  • Maintains consistent grading across seasons, lots and operators to prevent accidental downgrades.

Associated technologies
  • LUCAi™ deep learning models (built into new InVision² platforms; available as an upgrade for existing InVision² cherry graders).
  • Advanced camera-based imaging with pulsed LED illumination for color, size, shape and defect detection.
  • Integration compatibility with other TOMRA food platforms and peripherals (examples: Small Fruit Sorter (SFS) and CURO filling systems).

Use cases and scope
Intended for high-precision optical sorting and grading of small fruits (demonstrated for cherries and referenced for apples, blueberries and citrus), InVision² with LUCAi™ targets packhouses and processors aiming to maximise yield, improve pack-out uniformity and minimise fruit loss while maintaining varietal and seasonal consistency.

Technical features / specifications
  • Platform: InVision² grading platform with integrated LUCAi™ deep learning software.
  • AI: Pretrained model library enabling plug-and-play deployment and continuous model updates based on grower/packer data.
  • Defect detection: edge cracks, pacman cherries, open sutures, cosmetic blemishes, stem pulls, improved spur detection.
  • Grading control: adjustable severity parameters to match seasonal and market requirements.
  • Operation: intuitive LUCAi™ interface for reduced operator training and faster line integration.
  • Performance goals: increased yield, optimised pack-out, minimal fruit loss and consistent grading across batches and operators.
  • Upgrade path: LUCAi™ available as an upgrade for existing InVision² cherry graders.
  • Imaging: camera systems with pulsed LED illumination for colour/shape/size/defect analysis.
  • Compatibility: references include Small Fruit Sorter (SFS) and CURO systems; scalable to various infeed and peripheral configurations.
  • Media: product video and brochure (PDF) available for technical details.

Catalogs

Halo
Halo
2 Pages
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.