Automatic Resource Recycling Classification System

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/53939

Title:	Automatic Resource Recycling Classification System
Authors:	林世崧 Lin, Shih-Sung Chen, Guan-Wei
Contributors:	資訊工程學系 Department of Computer Science and Information Engineering
Keywords:	Embedded Image Recognition Robotic Arm
Date:	2024
Issue Date:	2025-03-11 11:00:08 (UTC+8)
Publisher:	Institution of Engineering and Technology
Abstract:	This research aims to design an automated waste sorting system to support the goal of sustainable development. This system uses embedded sensors and image recognition technology to identify types of waste and automatically classify them into corresponding recycling bins. This not only simplifies the process of waste sorting, reducing manpower costs and environmental pollution, but also improves recycling rates. This innovative technology is expected to advance the modernization of waste management and have a positive impact on our environment.
Relation:	IET Conference Proceedings, 2024(22), 166-167
Appears in Collections:	[Department of Computer Science and Information Engineering] conference paper

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