| Title |
Medical Waste Sorting: A Computer Vision Approach For Assisted Primary Sorting |
| ID_Doc |
7048 |
| Authors |
Bruno, A; Caudai, C; Leone, GR; Martinelli, M; Moroni, D; Crotti, F |
| Title |
Medical Waste Sorting: A Computer Vision Approach For Assisted Primary Sorting |
| Year |
2023 |
| Published |
|
| DOI |
10.1109/ICASSPW59220.2023.10193520 |
| Abstract |
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. |
| Author Keywords |
Medical waste management; Computer vision; Image classification; Annotated dataset; Automated sorting |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001046933700142 |
| WoS Category |
Acoustics; Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology |
| Research Area |
Acoustics; Computer Science; Engineering; Imaging Science & Photographic Technology |
| PDF |
https://arxiv.org/pdf/2303.04720
|