TOMRA Recycling

Food grade sorting of PET, PP and HDPE is now possible with the latest deep-learning innovation GAINnext^TM

AUTOSORT^TM with GAINnext^TM is TOMRA‘s latest AI-powered Deep Learning technology

INNOSORT FLAKE^TM simultaneously sorts flakes by polymer, color and transparency

TOMRA Recycling will further strengthen its position as a leader in resource recovery when the company reveals its latest technology portfolio at IFAT 2024. TOMRA’s experts will highlight the company’s continued commitment to leading the resource revolution, with TOMRA’s chosen theme for IFAT 2024 being “Transforming Resource Recovery”.

The industry’s latest AI-powered solution enabling food-grade sorting

With forthcoming changes to EU legislation governing packaging waste and recycled plastic food contact materials, TOMRA is anticipating a lot of interest among IFAT visitors in the latest advances to its GAINnext™ technology. Thanks to TOMRA’s continued investment in the company’s AI-powered deep learning technology – available as an add-on for its AUTOSORT™ units – it is now possible to separate food-grade from non-food-grade plastics for PET, PP and HDPE on a large scale with exceptional purity levels of over 95 %.

TOMRA has used AI technology to improve sorting performance for decades, but this latest groundbreaking application marks another industry first for TOMRA who also introduced the first deep learning technology for waste sorting in 2019. With this latest sophisticated application of deep learning and AI, TOMRA has once again demonstrated its position as a pioneer in the AI-powered transformation of recycling.

More IFAT highlights: From flake sorting to aluminum alloy sorting

Visitors to TOMRA’s stand will also be able to learn about the company’s recently launched solution for high-throughput purification of plastic flakes, INNOSORT™ FLAKE. The unit ensures unrivaled flake sorting performance even from highly contaminated inputs thanks to its enhanced features which enable simultaneous flake sorting by polymer, color and transparency. Launched in November 2023, TOMRA’s INNOSORT™ FLAKE solution is helping customers globally to recover more recyclable materials with maximum yield from a vast range of waste streams.

For those visitors interested in finding out more about TOMRA’s latest metal recycling solutions, TOMRA’s metals experts will be on hand at the show to highlight the company’s AUTOSORT™ PULSE unit. Designed for high throughput sorting of aluminum alloys, AUTOSORT™ PULSE features dynamic laser-induced breakdown spectroscopy (LIBS). The solution redefines industry standards and paves the way for high-throughput production of green aluminum. And, thanks to its AI-based object singulation feature, even overlapping and adjacent objects can be accurately separated to maximize yield.

Digital solutions to optimize process and material flow

TOMRA recognizes that the data insights generated from sorting operations play a critical role in facilitating plant operators‘ quest to run a profitable business – with minimum downtime and maximum output. At IFAT 2024, TOMRA’s experts will be able to demonstrate two digital solutions which are helping its customers to optimize their process and material flow: TOMRA Insight and PolyPerception’s waste analyzer.

TOMRA Insight is a cloud-based data monitoring platform which allows for a data-driven optimization of sorting processes through near-live monitoring. It can be installed as an add-on service. As critical sorting data is available anywhere and at any time, operators can anticipate operational issues and future maintenance requirements and be in control of the entire sorting line.

Following TOMRA’s acquisition of a 25 % stake in PolyPerception – a pioneering start-up offering AI-based waste flow monitoring – TOMRA’s customers can now also benefit from PolyPerception’s real-time end-to-end waste flow monitoring. The waste analyzer solution measures data at key points during the sorting process, providing traceability and transparency. Sorting facility operators are able to continuously assess the quality of sorted streams and the loss of good material in the residual stream to enable data-driven decisions. The technology also functions as an automated compliance system, which can ensure adherence to stringent regulations governing food-grade recycling and local legislation.

Booth B6, 339/438