Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials
<|reference_start|>Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials: The circular economy paradigm is gaining interest as a solution to reduce both material supply uncertainties and waste generation. One of the main challenges is monitoring materials, since in general, something that is not measured cannot be effectively managed. In this paper, we propose real-time synchronized object detection to enable, at the same time, autonomous sorting, mapping, and quantification of end-of-life medical materials. Dataset, code, and demo videos are publicly available.<|reference_end|>
@article{zocco2024synchronized,
    title={Synchronized Object Detection for Autonomous Sorting, Mapping, and
  Quantification of Medical Materials},
    author={Federico Zocco, Daniel Lake and Shahin Rahimifard},
    journal={arXiv preprint arXiv:2405.06821},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.06821},
    primaryClass={cs.CV}
}