Global leader in sensor-based sorting solutions, TOMRA Recycling, has launched FINDER™ COLOR, a new high-throughput solution designed to meet the evolving needs of the scrap metal recycling and e-scrap processing industries. The next-generation colour sorting system is engineered to deliver exceptional purity and recovery levels at high throughputs across a broad spectrum of metals sorting tasks.
FINDER™ COLOR is particularly effective for recovering valuable materials such as copper and brass from mixed heavy metals, cleaning stainless steel fractions (including those from end-of-life vehicles) and achieving high-level purification of printed circuit boards (PCBs) from mixed e-scrap. It is capable of processing grain sizes from 6-120mm and delivering throughputs of up to 20 tons per hour on Zorba material.
Building on TOMRA’s legacy of innovation in metal sorting, the new FINDER™ COLOR solution is a flexible system that combines proven hardware and software with advanced AI algorithms to adapt to changing material streams and market demands. Its core features an ultra-precise RGB camera and advanced AI-powered object singulation technology, enabling accurate, object-level sorting down to a few millimetres, even when objects are overlapping, adjacent or the same colour as the belt. This single-camera system sorts materials by colour, size and shape, providing operators with full control and unmatched accuracy.
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For enhanced purification, an optional electromagnetic (EM) sensor can be added. This is particularly useful for sorting materials with similar colors. The optional high-sensitivity EM sensor enhances metal recovery from mixed streams in batch mode, supporting PCB classification in e-scrap, or complementing the RGB sensor to add an extra purification layer against plastic contamination. The system also offers easy configuration for both batch and continuous flow sorting, with fast switching between different fractions. This allows operators to quickly change which material they are sorting, such as switching from copper one day to brass the next.
FINDER™ COLOR’s compact and simple design ensures easy integration into existing sorting lines, while its maintenance platform and accessible valve block are engineered for simple and efficient servicing. The machine can be connected for optimised, data-driven sorting through TOMRA Insight, an optional cloud-based data platform.
“Feedback from our metals customers highlighted the need for a highly flexible sorting machine to cover a wide range of sorting tasks," explains Tom Jansen, Head of Metal Segments at TOMRA Recycling. "After 25 years of offering colour sorters, we continue to see strong demand for versatile, highly accurate, reliable and cost-efficient solutions. FINDER™ COLOR pushes the boundaries of what colour sorting machines can achieve with applications like separating stainless steel from a mixed fraction of other grey metals, such as zinc and aluminium, and purifying e-scrap to help customers maximise their output and stay competitive.”
Also read: Revolutionising aluminium recycling: turning EV scrap into high-performance alloys
Developed by the same in-house engineering experts behind TOMRA’s comprehensive portfolio of metal sorting machines, FINDER™ COLOR can be used as a standalone machine, following magnetic separation or to extract value from heavy metals removed by XRT technology, such as TOMRA’s X-TRACT™. It is also the ideal last-step sorting solution for extracting value from PCBs in e-scrap and can be used to sort stainless steel and wire from material recovered using TOMRA’s FINDERTM unit. These integration options optimise the entire sorting process, helping customers refine performance, reduce operational complexity and drive greater business value.
Note: This article has been issued by TOMRA and has been published by AL Circle with its original information without any modifications or edits to the core subject/data.
To know more about recent technological advancements in recycled aluminium please refer our report: World Recycled ALuminium Market Analysis Industry forecast to 2032
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