Deep Learning Based Vision Inspection System for Remanufacturing Application

Chigozie Nwankpa; Solomon Eze; Winifred Ijomah; Anthony Gachagan; Stephen Marshall

doi:10.3233/ATDE190094

Deep Learning Based Vision Inspection System for Remanufacturing Application

Chigozie Nwankpa^*, Solomon Eze, Winifred Ijomah, Anthony Gachagan, Stephen Marshall

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

This article has been withdrawn by the corresponding author.

Original language	English
Title of host publication	Advances in Manufacturing Technology XXXIII
Subtitle of host publication	Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research
Editors	Yan Jin, Mark Price
Publisher	IOS Press
Pages	535-546
Number of pages	12
ISBN (Electronic)	978-1-64368-009-5
ISBN (Print)	978-1-64368-008-8
DOIs	https://doi.org/10.3233/ATDE190094
Publication status	Published - 19 Aug 2019
Event	17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019 - Belfast, United Kingdom Duration: 10 Sept 2019 → 12 Sept 2019

Publication series

Name	Advances in Transdisciplinary Engineering
Volume	9
ISSN (Print)	2352-751X
ISSN (Electronic)	2352-7528

Conference

Conference	17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019
Country/Territory	United Kingdom
City	Belfast
Period	10/09/19 → 12/09/19

Funding

The authors are grateful to Mr. Fuad Warsame, for assisting with the data capture process in the lab.

Keywords

Automated Inspection
Deep learning for Inspection
Inspection in Remanufacturing

Access to Document

10.3233/ATDE190094

Cite this

Nwankpa, C., Eze, S., Ijomah, W., Gachagan, A., & Marshall, S. (2019). Deep Learning Based Vision Inspection System for Remanufacturing Application. In Y. Jin, & M. Price (Eds.), Advances in Manufacturing Technology XXXIII : Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research (pp. 535-546). (Advances in Transdisciplinary Engineering; Vol. 9). IOS Press. https://doi.org/10.3233/ATDE190094

Nwankpa, Chigozie ; Eze, Solomon ; Ijomah, Winifred et al. / Deep Learning Based Vision Inspection System for Remanufacturing Application. Advances in Manufacturing Technology XXXIII : Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research. editor / Yan Jin ; Mark Price. IOS Press, 2019. pp. 535-546 (Advances in Transdisciplinary Engineering).

@inproceedings{57e2381a63ba401db3ffac0cee86afc6,

title = "Deep Learning Based Vision Inspection System for Remanufacturing Application",

abstract = "This article has been withdrawn by the corresponding author.",

keywords = "Automated Inspection, Deep learning for Inspection, Inspection in Remanufacturing",

author = "Chigozie Nwankpa and Solomon Eze and Winifred Ijomah and Anthony Gachagan and Stephen Marshall",

year = "2019",

month = aug,

day = "19",

doi = "10.3233/ATDE190094",

language = "English",

isbn = "978-1-64368-008-8",

series = "Advances in Transdisciplinary Engineering",

publisher = "IOS Press",

pages = "535--546",

editor = "Yan Jin and Mark Price",

booktitle = "Advances in Manufacturing Technology XXXIII",

address = "Netherlands",

note = "17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019 ; Conference date: 10-09-2019 Through 12-09-2019",

}

Nwankpa, C, Eze, S, Ijomah, W , Gachagan, A & Marshall, S 2019, Deep Learning Based Vision Inspection System for Remanufacturing Application. in Y Jin & M Price (eds), Advances in Manufacturing Technology XXXIII : Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research. Advances in Transdisciplinary Engineering, vol. 9, IOS Press, pp. 535-546, 17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019, Belfast, United Kingdom, 10/09/19. https://doi.org/10.3233/ATDE190094

Deep Learning Based Vision Inspection System for Remanufacturing Application. / Nwankpa, Chigozie; Eze, Solomon; Ijomah, Winifred et al.
Advances in Manufacturing Technology XXXIII : Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research. ed. / Yan Jin; Mark Price. IOS Press, 2019. p. 535-546 (Advances in Transdisciplinary Engineering; Vol. 9).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Deep Learning Based Vision Inspection System for Remanufacturing Application

AU - Nwankpa, Chigozie

AU - Eze, Solomon

AU - Ijomah, Winifred

AU - Gachagan, Anthony

AU - Marshall, Stephen

PY - 2019/8/19

Y1 - 2019/8/19

N2 - This article has been withdrawn by the corresponding author.

AB - This article has been withdrawn by the corresponding author.

KW - Automated Inspection

KW - Deep learning for Inspection

KW - Inspection in Remanufacturing

UR - https://www.scopus.com/pages/publications/85111818300

U2 - 10.3233/ATDE190094

DO - 10.3233/ATDE190094

M3 - Conference contribution book

AN - SCOPUS:85111818300

SN - 978-1-64368-008-8

T3 - Advances in Transdisciplinary Engineering

SP - 535

EP - 546

BT - Advances in Manufacturing Technology XXXIII

A2 - Jin, Yan

A2 - Price, Mark

PB - IOS Press

T2 - 17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019

Y2 - 10 September 2019 through 12 September 2019

ER -

Nwankpa C, Eze S, Ijomah W , Gachagan A , Marshall S. Deep Learning Based Vision Inspection System for Remanufacturing Application. In Jin Y, Price M, editors, Advances in Manufacturing Technology XXXIII : Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research. IOS Press. 2019. p. 535-546. (Advances in Transdisciplinary Engineering). doi: 10.3233/ATDE190094

Deep Learning Based Vision Inspection System for Remanufacturing Application

Abstract

Publication series

Conference

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Keywords

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Deep learning based vision inspection system for remanufacturing application

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