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Automated waste management system

Manual excessive work and higher costs are always indispensable in solid waste disposal, particularly in the segregation process. An automated and low-cost waste segregation system was developed and presented in this paper. The proximity principle is employed to identify different types of solid was...

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Main Authors: Abu Bakar Abd Rahman, Y.C. Liew, I. Rumaling, Chang, Jackson Hian Wui, Chee, Fuei Pien
Format: Proceedings
Language:English
English
Published: Faculty of Science and Natural Resources 2020
Subjects:
Q Science (General)
QC Physics
Online Access:https://eprints.ums.edu.my/id/eprint/21578/1/Automated%20waste%20management%20system.pdf
https://eprints.ums.edu.my/id/eprint/21578/2/Automated%20waste%20management%20system1.pdf
https://eprints.ums.edu.my/id/eprint/21578/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
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spelling my.ums.eprints.215782021-06-17T02:47:21Z https://eprints.ums.edu.my/id/eprint/21578/ Automated waste management system Abu Bakar Abd Rahman Y.C. Liew I. Rumaling Chang, Jackson Hian Wui Chee, Fuei Pien Q Science (General) QC Physics Manual excessive work and higher costs are always indispensable in solid waste disposal, particularly in the segregation process. An automated and low-cost waste segregation system was developed and presented in this paper. The proximity principle is employed to identify different types of solid waste comprises of ferrous metal, non-ferrous metal, and glass. The inductive proximity sensor was used to identify metal waste while magnet sensors were used to determine the ferrous metal. The capacitive proximity sensors are used to detect the glass waste. The developed waste segregation system was proven able to identify ferrous metal, non-ferrous metal, and glass with 100% accuracy. Optimistically, further enhancement of this system would be able to provide an automated method in waste handling and making the segregation process more effective. Faculty of Science and Natural Resources 2020 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/21578/1/Automated%20waste%20management%20system.pdf text en https://eprints.ums.edu.my/id/eprint/21578/2/Automated%20waste%20management%20system1.pdf Abu Bakar Abd Rahman and Y.C. Liew and I. Rumaling and Chang, Jackson Hian Wui and Chee, Fuei Pien (2020) Automated waste management system. https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
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 Q Science (General)
QC Physics
spellingShingle Q Science (General)
QC Physics
Abu Bakar Abd Rahman
Y.C. Liew
I. Rumaling
Chang, Jackson Hian Wui
Chee, Fuei Pien
Automated waste management system
description Manual excessive work and higher costs are always indispensable in solid waste disposal, particularly in the segregation process. An automated and low-cost waste segregation system was developed and presented in this paper. The proximity principle is employed to identify different types of solid waste comprises of ferrous metal, non-ferrous metal, and glass. The inductive proximity sensor was used to identify metal waste while magnet sensors were used to determine the ferrous metal. The capacitive proximity sensors are used to detect the glass waste. The developed waste segregation system was proven able to identify ferrous metal, non-ferrous metal, and glass with 100% accuracy. Optimistically, further enhancement of this system would be able to provide an automated method in waste handling and making the segregation process more effective.
format Proceedings
author Abu Bakar Abd Rahman
Y.C. Liew
I. Rumaling
Chang, Jackson Hian Wui
Chee, Fuei Pien
author_facet Abu Bakar Abd Rahman
Y.C. Liew
I. Rumaling
Chang, Jackson Hian Wui
Chee, Fuei Pien
author_sort Abu Bakar Abd Rahman
title Automated waste management system
title_short Automated waste management system
title_full Automated waste management system
title_fullStr Automated waste management system
title_full_unstemmed Automated waste management system
title_sort automated waste management system
publisher Faculty of Science and Natural Resources
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/21578/1/Automated%20waste%20management%20system.pdf
https://eprints.ums.edu.my/id/eprint/21578/2/Automated%20waste%20management%20system1.pdf
https://eprints.ums.edu.my/id/eprint/21578/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
_version_ 1760229860783947776
score 13.211869

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