TOMRA showcases AI, plastic, and flake sorting technologies at NPE 2024

TOMRA Recycling will feature its latest sorting technologies during NPE 2024 in Orlando from 6 to 10 May 2024 at the TOMRA booth #S35185. Team members will preview TOMRA's latest artificial intelligence (AI) technology, based on deep learning, available for cleaning recycled polyethylene terephthalate (PET) material streams. TOMRA will also showcase updates on INNOSORT FLAKE as well as the AUTOSORT FLAKE sorting solutions.

GAINnext™ aids in creating a pure recyclable PET fraction by removing difficult-to-detect plastic contaminants
© Tomra

GAINnext™ aids in creating a pure recyclable PET fraction by removing difficult-to-detect plastic contaminants
© Tomra
TOMRA's GAINnext, an AI technology that leverages deep learning capabilities, sorts objects which could not be separated by traditional methods. Combined with AUTOSORT, GAINnext classifies material based on sensor data and provides object recognition using an RGB camera to separate materials with high purity levels without compromising throughput speed.

One of the most recent applications for GAINnext aids in creating a pure recyclable PET fraction by removing difficult-to-detect plastic contaminants, such as multilayer packaging, to create a clean PET bottle stream. Leveraging AI, the PET cleaner application targets the separation of white opaque PET from clear and light blue PET, a task that has been difficult to solve with traditional technology.

  INNOSORT FLAKETM simultaneously sorts flakes by polymer, color and transparency
© Tomra

INNOSORT FLAKETM simultaneously sorts flakes by polymer, color and transparency
© Tomra

TOMRA's INNOSORT FLAKE

In the updates to TOMRA's INNOSORT FLAKE, the company has added enhancements to enable simultaneous flake sorting by polymer, colour, and transparency, achieving quality with high throughput. Its advanced near-infrared (NIR) spectrometer detects polymers from contaminated infeed, so mixed plastics are sorted into clean PET, polypropylene (PP), polyethylene (PE), and other fractions for extrusion. Enhanced optics with changeable colour backgrounds and dual-sided high-resolution cameras detect millions of colours to create single-colour fractions.

For high-end applications like bottle-to-bottle recycling where contamination of the infeed material is low, but quality requirements are high, TOMRA Recycling offers the AUTOSORT FLAKE sorter. It features a combination of an NIR spectrometer, full-colour camera, and metal sensor to deliver material, colour, and metal detection and achieve both high purity and stable throughput.

TOMRA's AUTOSORT PULSETM sorts aluminum by alloys
© Tomra

TOMRA's AUTOSORT PULSETM sorts aluminum by alloys
© Tomra
A high-sensitivity electromagnetic sensor detects and removes the smallest ferrous and non-ferrous metal contaminants down to 1 mm (0.04 inches) with maximum precision.

 

TOMRA AUTOSORT

Flake sorting efficiency is enhanced with consistent, quality plastic feed material. At NPE 2024, TOMRA Recycling team members will explain how the TOMRA AUTOSORT helps set the stage for successful flake sorting by accurately presorting material at high throughput rates. AUTOSORT utilizes TOMRA's technologies to deliver ideal accuracy for sorting tasks.

AUTOSORT utilizes TOMRA SHARP EYE technology, which increases light efficiency while maintaining the same energy consumption to improve the separation of difficult-to-target fractions. FLYING BEAM sensing technology offers better light efficiency to enable higher performance at lower costs. Its compact design enables flexible and easy installation while the enhanced light signal efficiency results in improved detection.

TOMRA's AUTOSORTTM with GAINnextTM combines object recognition with traditional sensor-based sorting
© Tomra

TOMRA's AUTOSORTTM with GAINnextTM combines object recognition with traditional sensor-based sorting
© Tomra
TOMRA Recycling will also highlight how the TOMRA Insight platform turns sorting machines into connected devices that generate process data. Users can access this near-real-time data anywhere at any time via a secure connection with a user-friendly interface on desktops and mobile devices. It provides digital metrics like throughput, material distribution across the belt, accept and rejection rates, and more to give operators the operating data to help optimize sorting performance.

TOMRA Recycling invites all NPE visitors to present their sorting problems at the TOMRA booth #S35185 during the show from 6 to 10 May. For more information on TOMRA Recycling's full range of sensor-based sorting solutions, visit

https://www.tomra.com/de-de/waste-metal-recycling 

www.tomra.com

www.tomra.com/recycling


Related articles:

Issue 02/2024

TOMRA Recycling

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...

more
Issue 03/2019 Dual sensor sorting technology

INNOSORT FLAKE – color and material sorting

TOMRA Sorting Recycling presented the new INNOSORT FLAKE at PRSE (Plastic Recycling Show Europe). Presented under the slogan “Materially different with excellent results”, the innovative PET flake...

more

Reciclar S.A. processes up to 600 million plastic bottles per year with TOMRA sorting systems

Tomra and Reciclar S.A. collaborate to advance a circular economy for plastics in Latin America. The Argentinian plant, with a surface area of more than 22 000 m2, features the latest generation of...

more
Issue 01/2019 Separating glass from MSW

TOMRA sorting recycling introduces AUTOSORT COLOR

Although glass waste is collected separately in many countries, a significant amount of recoverable glass nevertheless remains mixed-in with municipal solid waste (MSW) from households and businesses....

more

TOMRA presents the New INNOSORT™ FLAKE

TOMRA revolutionizes its product portfolio with the launch of the new INNOSORT™ FLAKE for high-throughput purification of plastic flakes. Its enhanced features enable simultaneous flake sorting by...

more