Advanced Multi-modal Perception System for Precision Autonomous Scrap Classification
The steel industry faces challenges in achieving circularity, primarily due to the complexity of scrap sorting.
Impurities like copper, tin, and other non-ferrous metals can degrade the quality of recycled steel, making precise sorting crucial, while non separating these materials at scale limits the industry’s ability to fully recycle steel. Thus, we have developed a novel system for autonomous scrap classification that allows to detect impurities and enables more efficient scrap processing.
