IoT-Based Smart Waste Management System For Malaysian Cities

This project aims to solve the common problem of overflowing garbage bins at main collection points in Malaysian cities by introducing the study of iot-smart waste management system. The study used Internet of Things technology and data analytics, the solution involves keeping a constant eye on garb...

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Main Author: Suharto, Adzlan
Format: Final Year Project
Language:English
Published: 2024
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/26993/1/20000114.pdf
http://utpedia.utp.edu.my/id/eprint/26993/
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record_format eprints
spelling oai:utpedia.utp.edu.my:269932024-05-29T07:24:13Z http://utpedia.utp.edu.my/id/eprint/26993/ IoT-Based Smart Waste Management System For Malaysian Cities Suharto, Adzlan QA75 Electronic computers. Computer science This project aims to solve the common problem of overflowing garbage bins at main collection points in Malaysian cities by introducing the study of iot-smart waste management system. The study used Internet of Things technology and data analytics, the solution involves keeping a constant eye on garbage bins to predict and prevent overflow issues. The proposed system uses IoT sensors placed in the bins to gather data on how full they are and other important details. Continuous monitoring allows for quick action, leading to better waste collection routes and resource use. To make sure the solution works well, challenges like sensor precision, data transfer, and visualisation of data will be addressed. The goal of this initiative is to develop a smart waste management system which significantly reduces overflow problems, improves waste collection routes, and leads to healthier and more sustainable urban environments in Malaysian cities. 2024-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/26993/1/20000114.pdf Suharto, Adzlan (2024) IoT-Based Smart Waste Management System For Malaysian Cities. [Final Year Project] (In Press)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Suharto, Adzlan
IoT-Based Smart Waste Management System For Malaysian Cities
description This project aims to solve the common problem of overflowing garbage bins at main collection points in Malaysian cities by introducing the study of iot-smart waste management system. The study used Internet of Things technology and data analytics, the solution involves keeping a constant eye on garbage bins to predict and prevent overflow issues. The proposed system uses IoT sensors placed in the bins to gather data on how full they are and other important details. Continuous monitoring allows for quick action, leading to better waste collection routes and resource use. To make sure the solution works well, challenges like sensor precision, data transfer, and visualisation of data will be addressed. The goal of this initiative is to develop a smart waste management system which significantly reduces overflow problems, improves waste collection routes, and leads to healthier and more sustainable urban environments in Malaysian cities.
format Final Year Project
author Suharto, Adzlan
author_facet Suharto, Adzlan
author_sort Suharto, Adzlan
title IoT-Based Smart Waste Management System For Malaysian Cities
title_short IoT-Based Smart Waste Management System For Malaysian Cities
title_full IoT-Based Smart Waste Management System For Malaysian Cities
title_fullStr IoT-Based Smart Waste Management System For Malaysian Cities
title_full_unstemmed IoT-Based Smart Waste Management System For Malaysian Cities
title_sort iot-based smart waste management system for malaysian cities
publishDate 2024
url http://utpedia.utp.edu.my/id/eprint/26993/1/20000114.pdf
http://utpedia.utp.edu.my/id/eprint/26993/
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score 13.222552