Sorter for the food industry TOMRA 4C

opticalautomatedwith artificial intelligence

Overview
AI flexibility. Outstanding performance. Time saved. Designed for demanding food packers and processors and arriving pre-set, the TOMRA 4C with LUCAi™ delivers total flexibility to use multiple forms of AI simultaneously. Operators can instantly adapt to changing conditions. The 4C food sorting machine delivers outstanding performance of greater than 97% on product defects and foreign materials with a false reject rate of less than 1%, minimising Good‑in‑Bad and maximising yield. Available for the nuts and IQF industries.

Performance and business benefits
The 4C drives business results with a low Total Cost of Ownership (TCO). Solid state sensors and LED illumination reduce maintenance and replacement costs and lower power consumption. The machine is designed for smoother operations, reductions in downtime, and easier operator training.

Key benefits

• Total AI flexibility: Use LUCAi™ deep learning or machine learning individually or simultaneously. Operators can augment LUCAi™ models by training machine‑learning classifiers on local defects.
• Less than 1% false reject rate: Outstanding performance on defects and foreign material maximises sellable product and yield.
• Easy to clean: Spacious, open design with hygienic surfaces and stainless steel finish for faster daily cleaning.
• Reduced operator hours: Intuitive TOMRA XCD user interface common across TOMRA machines reduces training time and daily task time. Large side doors enable quick access for cleaning and maintenance.

Technologies & functionality
Use LUCAi™ deep learning and TOMRA machine learning together to adapt quickly to novel defects. The 4C is built with pulsed LED sensors to capture complete object imagery and to detect defects invisible to the human eye, particularly valuable for IQF items (e.g. stalks, pods) and detecting hulls, stems and sticks in nut processing. Rear ejection combined with small fast‑pitch air ejectors (6.25 mm pitch) delivers precise ejection targeting the mass centre of a defective nut without influencing neighbouring product. The machine supports Industry 4.0 data exchange for reporting, automation and line optimisation. Compact, small footprint with an automated hopper, optimised product flow and speed adjustability for line integration.

Additional product highlights

• Pre‑set delivery for rapid commissioning in nut and IQF lines.
• Open design and hygienic surfaces for reduced cleaning time and faster maintenance cycles.
• Solid state sensors and LED illumination to lower ongoing maintenance costs.
• Optimised mechanical ejection hardware tailored for nut applications.

Caractéristiques / spécifications techniques

• Model name: TOMRA 4C
• Defect & foreign material detection: >97% (as stated)
• False reject rate: <1% (as stated)
• Ejector pitch: 6.25 mm (small fast‑pitch air ejectors)
• Ejection type: Rear ejection with small fast‑pitch air ejectors
• Illumination / sensors: Pulsed LED illumination; solid‑state sensors
• AI: LUCAi™ deep learning + machine learning (usable individually or simultaneously)
• User interface: TOMRA XCD common UI (reduces operator training time)
• Design: Hygienic stainless steel surfaces; open design; large side doors for access
• Integration: Small footprint, automated hopper, speed adjustability, Industry 4.0 data readiness
• Target industries: Nuts and IQF (Individually Quick Frozen)
• Typical benefits: Reduced cleaning time (claimed up to 65% reduction in cleaning time), lower TCO, reduced power consumption