An optimum identification method of sorting multi-material of household waste

This project relates to sorting of waste material for recycling, and in particular to design an automated system for distinguishing household waste objects in order to separate them from other types of waste. The project focuses on thorough analyze the properties of household waste materials. The me...

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Main Authors: Mohd Hisam, Daud, Zol Bahri, Razali
Other Authors: mhisam.daud@gmail.com
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40734
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-407342016-01-07T12:55:58Z An optimum identification method of sorting multi-material of household waste Mohd Hisam, Daud Zol Bahri, Razali mhisam.daud@gmail.com zolbahri@unimap.edu.my Sorting waste Capacitance sensor This project relates to sorting of waste material for recycling, and in particular to design an automated system for distinguishing household waste objects in order to separate them from other types of waste. The project focuses on thorough analyze the properties of household waste materials. The method that choose are capacitive sensor. The readings taken at the three different sensor drive frequency to collected the different reading for each materials. Three material been taken to separate the materials using the selected method. The capacitance based, object penetrating, material type identification is targeted for use in this project. Output capacitance sensor are in analog value. The data demonstrate that the information from the sensor is enough to recognize the materials that have been selected. 2016-01-07T12:55:58Z 2016-01-07T12:55:58Z 2014 Article http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40734 en Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Sorting waste
Capacitance sensor
spellingShingle Sorting waste
Capacitance sensor
Mohd Hisam, Daud
Zol Bahri, Razali
An optimum identification method of sorting multi-material of household waste
description This project relates to sorting of waste material for recycling, and in particular to design an automated system for distinguishing household waste objects in order to separate them from other types of waste. The project focuses on thorough analyze the properties of household waste materials. The method that choose are capacitive sensor. The readings taken at the three different sensor drive frequency to collected the different reading for each materials. Three material been taken to separate the materials using the selected method. The capacitance based, object penetrating, material type identification is targeted for use in this project. Output capacitance sensor are in analog value. The data demonstrate that the information from the sensor is enough to recognize the materials that have been selected.
author2 mhisam.daud@gmail.com
author_facet mhisam.daud@gmail.com
Mohd Hisam, Daud
Zol Bahri, Razali
format Article
author Mohd Hisam, Daud
Zol Bahri, Razali
author_sort Mohd Hisam, Daud
title An optimum identification method of sorting multi-material of household waste
title_short An optimum identification method of sorting multi-material of household waste
title_full An optimum identification method of sorting multi-material of household waste
title_fullStr An optimum identification method of sorting multi-material of household waste
title_full_unstemmed An optimum identification method of sorting multi-material of household waste
title_sort optimum identification method of sorting multi-material of household waste
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40734
_version_ 1643799466018340864