The KU Leuven’s lifecycle engineering (LCE) research group (SIM² – KU Leuven) and EAVISE Research Group have explored a new methodology for mass estimation and classification of scrap metals using Deep Learning. The presented research is an essential step towards improved metal sorting and recycling. The proposed research developed is capable of monitoring the composition of waste streams, providing a better understanding of physical properties of objects to optimize robotic and pneumatic sorting systems, and is relevant for maximizing the performance of typical sorting processes based on (NIRS) or (LIBS).
https://www.sciencedirect.com/science/article/pii/S0921344922001203
