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Object detection and identification for waste electronic equipment recycling

This study focuses on an investigation of image processing of electronic waste (E-waste) detection where the problem is to detect and identify in recycling process of mobile phones, batteries and laptop computers as examples. Some of actually acquired images of E-wastes would be mixed with other was...

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Main Authors: Nozomu, Hamada, Wee, Yien Ann
Format: Conference or Workshop Item
Published: 2015
Subjects:
TK7885-7895 Computer engineer. Computer hardware
Online Access:http://eprints.utm.my/id/eprint/62079/
http://www.risp.jp/NCSP15/
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id my.utm.62079
record_format eprints
spelling my.utm.620792017-05-07T08:19:28Z http://eprints.utm.my/id/eprint/62079/ Object detection and identification for waste electronic equipment recycling Nozomu, Hamada Wee, Yien Ann TK7885-7895 Computer engineer. Computer hardware This study focuses on an investigation of image processing of electronic waste (E-waste) detection where the problem is to detect and identify in recycling process of mobile phones, batteries and laptop computers as examples. Some of actually acquired images of E-wastes would be mixed with other wastes. For object matching with scale invariance the SIFT (Scale -Invariant- Feature Transform) is applied and used for identifying the Ewastes categories. Reflecting the particular problem for recycling the SIFT is customized. Through experiments the modification of SIFT is investigated. 2015 Conference or Workshop Item PeerReviewed Nozomu, Hamada and Wee, Yien Ann (2015) Object detection and identification for waste electronic equipment recycling. In: Proceedings of 2015 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 27 Feb - 2 Mac, 2015, Kuala Lumpur, Malaysia. http://www.risp.jp/NCSP15/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK7885-7895 Computer engineer. Computer hardware
spellingShingle TK7885-7895 Computer engineer. Computer hardware
Nozomu, Hamada
Wee, Yien Ann
Object detection and identification for waste electronic equipment recycling
description This study focuses on an investigation of image processing of electronic waste (E-waste) detection where the problem is to detect and identify in recycling process of mobile phones, batteries and laptop computers as examples. Some of actually acquired images of E-wastes would be mixed with other wastes. For object matching with scale invariance the SIFT (Scale -Invariant- Feature Transform) is applied and used for identifying the Ewastes categories. Reflecting the particular problem for recycling the SIFT is customized. Through experiments the modification of SIFT is investigated.
format Conference or Workshop Item
author Nozomu, Hamada
Wee, Yien Ann
author_facet Nozomu, Hamada
Wee, Yien Ann
author_sort Nozomu, Hamada
title Object detection and identification for waste electronic equipment recycling
title_short Object detection and identification for waste electronic equipment recycling
title_full Object detection and identification for waste electronic equipment recycling
title_fullStr Object detection and identification for waste electronic equipment recycling
title_full_unstemmed Object detection and identification for waste electronic equipment recycling
title_sort object detection and identification for waste electronic equipment recycling
publishDate 2015
url http://eprints.utm.my/id/eprint/62079/
http://www.risp.jp/NCSP15/
_version_ 1643655316054736896
score 13.209306

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