OS10-7 Deep Learning Based Integrated Removable Smart Waste Sorting Device

Title:	OS10-7 Deep Learning Based Integrated Removable Smart Waste Sorting Device
Publication:	ICAROB2025
Volume:	30
Pages:	309-312
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2025.OS10-7
Author(s):	Yanhong Yu, Liangyu Wang, Yizhun Peng
Publication Date:	February 13, 2025
Keywords:	Intelligent waste sorting, Inception v3, sensor fusion, detachable design, environmental monitoring
Abstract:	In this study, an intelligent waste sorting device based on Inception v3 and migration learning is developed to achieve fast and accurate waste recognition and sorting through deep learning and sensor fusion techniques. The device is designed to be detachable and adaptable to existing bins, with the ability to continuously learn new waste types. Through real-time data transmission, the device supports remote monitoring and management, which effectively improves the efficiency of waste classification and is important for urban environmental protection.
PDF File:	https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS10/OS10-7.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/