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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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 |
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Sorting waste Capacitance sensor Mohd Hisam, Daud Zol Bahri, Razali An optimum identification method of sorting multi-material of household waste |
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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. |
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mhisam.daud@gmail.com |
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mhisam.daud@gmail.com Mohd Hisam, Daud Zol Bahri, Razali |
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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 |
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Universiti Malaysia Perlis (UniMAP) |
publishDate |
2016 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40734 |
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1643799466018340864 |