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An application of image processing for automated mixed household waste sorting system

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Zol Bahri, Razali, Madasamy, Gunasegaran
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Sorting system
Conveyor belt
Computer vision
Intelligent system
Production line
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20575
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spelling my.unimap-205752012-08-03T08:48:37Z An application of image processing for automated mixed household waste sorting system Zol Bahri, Razali Madasamy, Gunasegaran Sorting system Conveyor belt Computer vision Intelligent system Production line International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. The purpose of this project is to study the application of image processing in developing an efficient automated mechanical sorting system for mixed household waste. Usually paper and plastics are left uncollected from domestic waste due to lack of efficient and economical waste sorting mechanism. This project is designed to segregate plastic and paper waste which would be the pioneer step for recycling. An intelligent system is developed using computer vision to recognize parts with features on the sorting production line (conveyor belt). Different paper and plastic objects with various shapes and sizes are used for the experimentation process. The proposed algorithm was experimental verified using a fabricated prototype paper and plastic system. Experimental results validate the proposed algorithm. 2012-08-03T08:48:37Z 2012-08-03T08:48:37Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20575 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) 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 system
Conveyor belt
Computer vision
Intelligent system
Production line
spellingShingle Sorting system
Conveyor belt
Computer vision
Intelligent system
Production line
Zol Bahri, Razali
Madasamy, Gunasegaran
An application of image processing for automated mixed household waste sorting system
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
format Working Paper
author Zol Bahri, Razali
Madasamy, Gunasegaran
author_facet Zol Bahri, Razali
Madasamy, Gunasegaran
author_sort Zol Bahri, Razali
title An application of image processing for automated mixed household waste sorting system
title_short An application of image processing for automated mixed household waste sorting system
title_full An application of image processing for automated mixed household waste sorting system
title_fullStr An application of image processing for automated mixed household waste sorting system
title_full_unstemmed An application of image processing for automated mixed household waste sorting system
title_sort application of image processing for automated mixed household waste sorting system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20575
_version_ 1643793118549508096
score 13.222552

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