TOMRA marks 30 years of AI sorting and unveils new solutions at IFAT 2026 ♻️
TOMRA Recycling will present its latest AI and deep learning innovations at IFAT 2026 (May 4–8, Munich), marking 30 years of its AUTOSORT system — one of the most widely used sensor-based sorting technologies globally.
At Hall B6 (stand 339), TOMRA will showcase the full evolution of sorting technology — from early optical systems to today’s fully integrated, connected and data-driven ecosystems.
Key highlights at IFAT 2026:
▪ Launch of new deep learning and AI-powered solutions to expand sorting accuracy and material range
▪ Introduction of TOMRA Local Control — a new intuitive platform enabling centralized control of all sorting machines, with real-time performance data and remote configuration
▪ Advanced waste analysis tools, including PolyPerception technology, delivering full transparency on material composition, recovery rates and purity
▪ Live демонстрация digital tools for real-time monitoring and process optimization
Since the first AUTOSORT installation in 1996, TOMRA has driven the shift from rule-based sorting to AI-powered material intelligence. Key milestones include hyperspectral imaging, improved detection of complex materials (including black plastics), and the introduction of GAINnext — one of the first deep learning applications in recycling.
Today, AUTOSORT combines multi-sensor technology, AI, and advanced image processing, acting as the digital backbone of modern sorting plants.
“These innovations enable sorting plants to move beyond high-speed detection toward intelligent, interconnected and user-friendly ecosystems,” said Lars Undrum Enge, EVP and Head of TOMRA Recycling.
With growing demands for circularity and efficiency, TOMRA’s latest developments aim to help operators increase recovery rates, improve material quality, and transition to fully data-driven operations.
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