Recycling has always depended on technology, but the pace of innovation in sorting and material recovery has accelerated sharply in recent years. What used to be largely manual, low-precision processes are increasingly being replaced by automated systems capable of identifying materials with a level of accuracy and consistency that simply was not possible a decade ago. Here is a look at how innovation is reshaping recovery across some of the most important material streams.

Battery recycling

As the number of lithium-ion batteries reaching end of life grows – from consumer electronics to electric vehicles – battery recycling is becoming one of the fastest-moving areas of innovation. New processes aim to recover valuable metals such as lithium, cobalt and nickel for reuse in new batteries, while improved sorting and pre-processing technology helps separate battery cells safely from other waste streams before they reach recycling facilities.

Metals recycling

Metals remain among the most successfully recycled materials, thanks to well-established magnetic and eddy current separation technology that removes ferrous and non-ferrous metals from mixed waste streams. Newer sensor-based sorting systems are pushing this further, identifying and separating different metal alloys that would previously have been grouped together, increasing the value of recovered scrap.

Textile recycling

Textile recycling has historically lagged behind other materials, largely because sorting by fibre composition was done by hand. Near-infrared optical sorting now allows facilities to identify cotton, polyester, wool and blended fabrics automatically and at high speed – a capability that PICVISA's ECOSORT TEXTIL system brings to textile recovery facilities, supporting the growth of fibre-to-fibre recycling.

Plastic recycling

Plastic sorting has seen some of the most significant technological gains, with multispectral and near-infrared sensors capable of distinguishing between PET, HDPE, PP, PS and other polymers at high speed, even when items are dirty, printed, or oddly shaped. Layered on top of this, AI models trained on large datasets of real material images are increasingly able to recognise objects directly, while robotic arms guided by computer vision perform high-speed quality control picking that was previously done by hand.

PICVISA brings together technology across all of these material streams – ECOPACK, ECOGLASS, ECOSORT TEXTIL and ECOFLAKE for optical sorting, ECOPICK for robotics, and the DATA+ and ECOFLOW systems for flow analysis – giving recycling plants a complete, integrated toolkit for maximising material recovery.

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