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.

翻译：医疗废弃物，即医院、诊所和实验室在医疗活动中产生的废弃物，属于危险废弃物，其管理需要特殊处理和较高成本。然而，这类废弃物中含有大量高价值材料，可进入循环经济流程。为此，本文提出一种计算机视觉方法，用于辅助医疗废弃物的初级分类。我们通过收集并向社区公开的代表性数据集验证了该方法的可行性，基于此数据集训练出的模型实现了100%的准确率，同时利用新数据集证明了该训练模型具有良好的泛化能力。