“Today, we celebrate much more than expanded material testing capabilities and efficiency for customers and partners operating in the Americas,” said Michelle Landon, senior vice president and head of Americas for TOMRA Recycling. “This investment in testing, training and warehouse space at our Americas headquarters is a commitment to a deeper level of support. From pre-sale consultation and machinery sales and installation to after-sales support and on-going technical training, TOMRA Recycling partners with our customers throughout the equipment’s lifecycle.”
TOMRA Recycling’s new dedicated test center is equipped with the company’s latest sorting technologies to give customers a nearby facility to test waste and plastics materials. The installation includes the latest generation AUTOSORT™ equipped with TOMRA’s deep learning AI technology, GAINnext™.
From municipal solid waste and paper to plastics and packaging, AUTOSORT™ combines a variety of leading-edge features in one machine with a flexible sensor configuration for a sorting system that meets the challenges of a dynamic market landscape. GAINnext leverages AI-based visual classification to identify hard-to-classify objects to maximize recyclate recovery and purity levels.
For advanced testing of plastic flake materials, the installation includes TOMRA’s AUTOSORT™ FLAKE and INNOSORT™ FLAKE technologies. Delivering simultaneous detection of polymers and colors, the flexible INNOSORT FLAKE features advanced near-infrared (NIR) spectrometer and dual-sided imaging with high-resolution cameras to sort high-purity recyclable flakes, even from contaminated mixed streams. AUTOSORT FLAKE offers a powerful combination of NIR spectrometer, full color camera and metal sensor to deliver exceptional sorting performance, making it ideal for sorting high-purity end products.
Providing end-to-end material tracking, the Waste Analyzer from PolyPerception included in the circuit harnesses the power of deep learning AI. Color cameras capture real-time images of material flow at strategic points in the line to analyze key performance metrics, such as throughput, waste composition and yield loss.
Published June 2026