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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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/ |
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TK7885-7895 Computer engineer. Computer hardware Nozomu, Hamada Wee, Yien Ann Object detection and identification for waste electronic equipment recycling |
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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 |
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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/ |
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13.18916 |