A.R.I.S.: Automated Recycling Identification System for E-Waste Classification Using Deep Learning

Researchers developed A.R.I.S., an automated e-waste recycling system using deep learning to classify metals, plastics, and circuit boards in real time. The system achieved 90% precision and 84% sortation efficiency, offering a low-cost solution to improve material recovery in electronic waste processing.