Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high costs. However, this kind of waste contains a significant fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of medical waste. The feasibility of our approach is demonstrated on a representative dataset we collected and made available to the community, with which we have trained a model that achieves 100\% accuracy, and a new dataset on which the trained model exhibits good generalization.
@article{arxiv.2303.04720,
title = {Medical Waste Sorting: a computer vision approach for assisted primary sorting},
author = {A. Bruno and C. Caudai and G. R. Leone and M. Martinelli and D. Moroni and F. Crotti},
journal= {arXiv preprint arXiv:2303.04720},
year = {2023}
}
Comments
Accepted for inclusion in IWCIM 2023 @ ICASSP2023, June 5, 2023, Rhodes, Greece