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Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)

There has been a rise in the development of waste in recent years, particularly in university hostels, where there are limited number of bins and shared among all the students. Due to the spill over of waste in the hostel area, the contaminated condition may trigger various serious diseases in the s...

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Main Author: Carmel Abigail Clement Loo
Format: Academic Exercise
Language:English
English
Published: 2022
Subjects:
QA76.75-76.765 Computer software
Online Access:https://eprints.ums.edu.my/id/eprint/33264/1/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.24pages.pdf
https://eprints.ums.edu.my/id/eprint/33264/2/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.pdf
https://eprints.ums.edu.my/id/eprint/33264/
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spelling my.ums.eprints.332642022-07-18T04:21:12Z https://eprints.ums.edu.my/id/eprint/33264/ Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT) Carmel Abigail Clement Loo QA76.75-76.765 Computer software There has been a rise in the development of waste in recent years, particularly in university hostels, where there are limited number of bins and shared among all the students. Due to the spill over of waste in the hostel area, the contaminated condition may trigger various serious diseases in the surroundings. This project proposes a Garbage Detection System with Garbage Level Prediction using Machine Learning in Internet of Things (IoT) where the system would measure the current level of waste in all garbage bins available around the area and notify the hostel management to collect the waste whenever the bin is loaded. The machine learning model will be required to learn and predict the waste that will be produced in the future. The methodology that will be used in this project is iterative and incremental model. Through this project, manual monitoring will not be needed anymore since this project will be able to send push notifications indicating that the garbage is almost full and predict the current waste level based on current day and time. 2022 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/33264/1/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.24pages.pdf text en https://eprints.ums.edu.my/id/eprint/33264/2/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.pdf Carmel Abigail Clement Loo (2022) Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT). Universiti Malaysia Sabah. (Unpublished)
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA76.75-76.765 Computer software
spellingShingle QA76.75-76.765 Computer software
Carmel Abigail Clement Loo
Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
description There has been a rise in the development of waste in recent years, particularly in university hostels, where there are limited number of bins and shared among all the students. Due to the spill over of waste in the hostel area, the contaminated condition may trigger various serious diseases in the surroundings. This project proposes a Garbage Detection System with Garbage Level Prediction using Machine Learning in Internet of Things (IoT) where the system would measure the current level of waste in all garbage bins available around the area and notify the hostel management to collect the waste whenever the bin is loaded. The machine learning model will be required to learn and predict the waste that will be produced in the future. The methodology that will be used in this project is iterative and incremental model. Through this project, manual monitoring will not be needed anymore since this project will be able to send push notifications indicating that the garbage is almost full and predict the current waste level based on current day and time.
format Academic Exercise
author Carmel Abigail Clement Loo
author_facet Carmel Abigail Clement Loo
author_sort Carmel Abigail Clement Loo
title Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
title_short Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
title_full Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
title_fullStr Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
title_full_unstemmed Garbage detection system with garbage level prediction using machine learning in Internet of Things (IoT)
title_sort garbage detection system with garbage level prediction using machine learning in internet of things (iot)
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/33264/1/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.24pages.pdf
https://eprints.ums.edu.my/id/eprint/33264/2/GARBAGE%20DETECTION%20SYSTEM%20WITH%20GARBAGE%20LEVEL%20PREDICTION%20USING%20MACHINE%20LEARNING%20IN%20INTERNET%20OF%20THINGS%20%28IOT%29.pdf
https://eprints.ums.edu.my/id/eprint/33264/
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score 13.211869

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