Recycling plants can identify and separate materials with increasing precision, but valuable fractions are still lost when operators lack real-time visibility into material flows, purity and process performance.
In this interview, Gudbrand Erik Arnesen, SVP and Head of Solutions at TOMRA Recycling, explains how deep learning, Dynamic LIBS and AI-powered analytics are advancing automated sorting towards autonomous, data-driven process optimisation, improving recovery rates, material quality and control across the entire recycling line.
