OverviewGAINnext™ is an AI-powered sorting system using deep learning and multi-sensor inputs for accurate sorting of multiple material streams in waste and metal recycling. The visual AI classifies thousands of objects in milliseconds and supports high-throughput processing. The system complements AUTOSORT™ machines and can be optimized via network connectivity and optional cloud monitoring and digital services.
Key benefits- Identifies hard-to-classify and overlapping objects for automated sorting tasks not achievable with traditional optical systems
- High throughput — up to 2000 ejections per minute depending on application
- Processes multiple material streams on a single line, enabling new streams and reducing manual sorting
- Software upgradability and optional cloud monitoring for continuous improvement
Features- Deep learning (AI-based visual classification)
- Multi-sensor integration including high-resolution color camera
- Trajectory calculation for high-precision ejection of targets
- Software upgradability and digital application services
- Optional TOMRA Insight cloud monitoring and Waste analyzer integration
Main applications- Food-grade plastic packaging and PET purification (bottle-to-bottle)
- Deinking in paper recycling
- PP, PE and other plastics including mixed streams
- Aluminum (Used Beverage Cans - UBC) and aluminum quality control
- Wood chips and C&D waste wood
- Emerging metal streams (e.g., copper fragments, cast vs wrought)
Technical specifications- AI visual classification identifying thousands of objects in milliseconds
- Multi-sensor architecture with high-resolution color camera
- Up to 2000 ejections per minute (application dependent)
- Capability to classify overlapping objects and compute trajectories for precise ejection
- Processes multiple material streams on a single sorting line
- Software upgradability and remote optimization via network connection
- Optional digital services: TOMRA Insight (cloud monitoring) and Waste analyzer