BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling

arXiv:2404.05802v1 Announce Type: cross
Abstract: Battery recycling is a critical process for minimizing environmental harm and resource waste for used batteries. However, it is challenging, largely because sorting batteries is costly and hardly automated to group batteries based on battery types. In this paper, we introduce a machine learning-based approach for battery-type classification and address the daunting problem of data scarcity for the application. We propose BatSort which applies transfer learning to utilize the existing knowledge optimized with large-scale datasets …

abstract arxiv automated batteries battery classification cs.ce cs.cv cs.mm environmental harm however machine paper process recycling sorting transfer transfer learning type types waste