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Smart city article details

Title	Design And Implementation Of An Iot And Ml-Based Smart Waste Management System
ID_Doc	18548
Authors	Hussain A.A.; Elhamami F.; Al Qahtani L.; Aldossary M.; Hasanaath A.A.; Mewada H.K.
Year	2025
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3718391.3718431
Abstract	This paper discusses the impact of population growth and increased consumption on waste production, highlighting the challenges of managing waste efficiently. It proposes an IoT-based smart bin system that uses a deep learning model and vision sensors to classify waste into five categories: paper, plastic, metal, cigarettes, and organic waste, achieving 96% accuracy. The system segregates waste into appropriate bins, monitors bin conditions such as toxic gas levels and temperature, and includes fire-extinguishing capabilities. Additionally, a web interface provides real-time data from the sensors, aiming to streamline the recycling process and enhance waste management sustainability. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.
Author Keywords	artificial intelligence; Internet of Things; recycling; Smart cities; sustainability; waste management

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