Material classification of recyclable waste using the weight and size of waste
Nowadays, insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the co...
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Institute of Electrical and Electronics Engineers Inc.
2018
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Online Access: | http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/9/70632_Material%20classification%20of%20recyclable%20waste.pdf http://irep.iium.edu.my/70632/2/70632_Material%20classification%20of%20recyclable_SCOPUS.pdf |
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iium-706322019-02-28T07:22:22Z http://irep.iium.edu.my/70632/ Material classification of recyclable waste using the weight and size of waste Rahmad, Muhammad Aizat Midi, Nur Shahida Zaini, Syasya Azra Yusoff, Siti Hajar Mohamad, Sarah Yasmin TD Environmental technology. Sanitary engineering TD785 Municipal refuse. Solid waste TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Nowadays, insufficient landfills problem had increased the needs to decrease the waste and recycling them. However, despite the efforts done by the government and local authorities on promoting recycling culture by introducing new laws and regulations, the awareness and willingness among the community is still low. One of the possible reasons to this is lack of effort to categorize the waste into the designated category which are paper, glass, plastic and metal. In order to address this problem, it is important to design a system that will ease the process of categorizing the waste. This can be achieve by the automation of the said process. In this work, a system consist of an algorithm and hardware to automatically categorize recyclable waste is proposed. The proposed system are utilizing weight sensor and ultrasonic sensors in order to capture the characteristics of the waste item, which are weight and size so that it can be categorized into paper, glass, plastic and metal. Here, an algorithm to compensate minimum usage of hardware, namely the type and number of sensors is presented. Institute of Electrical and Electronics Engineers Inc. 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/70632/9/70632_Material%20classification%20of%20recyclable%20waste.pdf application/pdf en http://irep.iium.edu.my/70632/2/70632_Material%20classification%20of%20recyclable_SCOPUS.pdf Rahmad, Muhammad Aizat and Midi, Nur Shahida and Zaini, Syasya Azra and Yusoff, Siti Hajar and Mohamad, Sarah Yasmin (2018) Material classification of recyclable waste using the weight and size of waste. In: 7th International Conference on Computer and Communication Engineering, ICCCE 2018, 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539315 10.1109/ICCCE.2018.8539315 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English English |
topic |
TD Environmental technology. Sanitary engineering TD785 Municipal refuse. Solid waste TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
spellingShingle |
TD Environmental technology. Sanitary engineering TD785 Municipal refuse. Solid waste TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Rahmad, Muhammad Aizat Midi, Nur Shahida Zaini, Syasya Azra Yusoff, Siti Hajar Mohamad, Sarah Yasmin Material classification of recyclable waste using the weight and size of waste |
description |
Nowadays, insufficient landfills problem had increased the
needs to decrease the waste and recycling them. However,
despite the efforts done by the government and local
authorities on promoting recycling culture by introducing new
laws and regulations, the awareness and willingness among the
community is still low. One of the possible reasons to this is
lack of effort to categorize the waste into the designated
category which are paper, glass, plastic and metal. In order to
address this problem, it is important to design a system that
will ease the process of categorizing the waste. This can be
achieve by the automation of the said process. In this work, a
system consist of an algorithm and hardware to automatically
categorize recyclable waste is proposed. The proposed system
are utilizing weight sensor and ultrasonic sensors in order to
capture the characteristics of the waste item, which are weight
and size so that it can be categorized into paper, glass, plastic
and metal. Here, an algorithm to compensate minimum usage
of hardware, namely the type and number of sensors is
presented. |
format |
Conference or Workshop Item |
author |
Rahmad, Muhammad Aizat Midi, Nur Shahida Zaini, Syasya Azra Yusoff, Siti Hajar Mohamad, Sarah Yasmin |
author_facet |
Rahmad, Muhammad Aizat Midi, Nur Shahida Zaini, Syasya Azra Yusoff, Siti Hajar Mohamad, Sarah Yasmin |
author_sort |
Rahmad, Muhammad Aizat |
title |
Material classification of recyclable waste using the weight and size of waste |
title_short |
Material classification of recyclable waste using the weight and size of waste |
title_full |
Material classification of recyclable waste using the weight and size of waste |
title_fullStr |
Material classification of recyclable waste using the weight and size of waste |
title_full_unstemmed |
Material classification of recyclable waste using the weight and size of waste |
title_sort |
material classification of recyclable waste using the weight and size of waste |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2018 |
url |
http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/ http://irep.iium.edu.my/70632/9/70632_Material%20classification%20of%20recyclable%20waste.pdf http://irep.iium.edu.my/70632/2/70632_Material%20classification%20of%20recyclable_SCOPUS.pdf |
first_indexed |
2023-09-18T21:40:16Z |
last_indexed |
2023-09-18T21:40:16Z |
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1777413093051072512 |