A design of Intelligent Public Trash Can based on Machine Vision and Auxiliary Sensors
- 10.2991/jrnal.k.211108.009How to use a DOI?
- Garbage classification; machine vision; deep learning; auxiliary sensors
To improve the accuracy of front-end recognition in the garbage classification process, the recognition accuracy of the automatic garbage classification system designed based on machine vision is significantly higher than that of the traditional smart garbage can. However, the recognition accuracy rate for irregular garbage is low. To solve such problems, four types of auxiliary sensors are added to the trash can, through the mutual cooperation between the sensors, combined with the results of machine vision recognition for comprehensive judgment, greatly improving the recognition accuracy of irregular trash. It shows the broad application prospects of the research results of this paper in waste classification and environmental protection.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Longyu Gao AU - Fengzhi Dai AU - Zhiqing Xiao AU - Jiangyu Wu AU - Zilong Liu PY - 2021 DA - 2021/12/27 TI - A design of Intelligent Public Trash Can based on Machine Vision and Auxiliary Sensors JO - Journal of Robotics, Networking and Artificial Life SP - 273 EP - 277 VL - 8 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.211108.009 DO - 10.2991/jrnal.k.211108.009 ID - Gao2021 ER -