تقرير
Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials
| العنوان: | Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials |
|---|---|
| المؤلفون: | Zocco, Federico, Lake, Daniel, Rahimifard, Shahin |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | 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. Comment: To be submitted |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2405.06821 |
| رقم الأكسشن: | edsarx.2405.06821 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |