TOMRA has launched GAINnext™ in its metal treatment. This is an innovative sorting technology based on artificial intelligence (AI) that uses so-called deep learning. This technology will allow aluminum recyclers to improve the quality of recycled metals, accurately separating low-silicon alloys and recovering high-purity aluminum fractions, resulting in more valuable and profitable products.
GAINnext™ complements TOMRA’s X-TRACT™ technology, which is already standard in non-ferrous metal sorting, and uses X-ray transmission (XRT) technology to separate heavy metals and high-quality aluminum. These are technologies that allow for even more precise separation of metals, producing exceptionally pure aluminum that cannot be achieved with current sorting methods.
The GAINnext™ process uses RGB cameras to analyze thousands of images per millisecond, classifying materials by their shape, size, and dimension with great precision. This rapid processing capability facilitates large-scale sorting, achieving up to 2,000 ejections per minute. As a result, recyclers can obtain pure aluminum fractions with a quality that demands premium prices in the market.
Additionally, TOMRA has further enhanced its sorting capability with the introduction of AUTOSORT™ PULSE, a system that uses laser spectroscopy to identify and classify aluminum alloys, allowing for even more precise refining of aluminum fractions.
Tom Jansen, Director of the Metals segment at TOMRA Recycling, emphasized that this deep learning technology complements their traditional sensor-based approach, improving the efficiency of mechanical metal sorting and reducing the need for manual sorting. With GAINnext™, recyclers will be able to produce premium-grade aluminum ready for smelting more cost-effectively, which promotes circular manufacturing.
This latest innovation from TOMRA reinforces its artificial intelligence strategy, with applications ranging from plastics to metals and wood, consolidating its position as a leader in the use of AI for recycling.