Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning

Masoud Shaloo; Gábor Princz; Selim Erol

doi:10.1007/978-3-031-38274-1_15

Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning

Masoud Shaloo
, Gábor Princz
, Selim Erol

Institute of Industrial Engineering and Management

University of Applied Sciences Wiener Neustadt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023
Editors	Yuri Borgianni, Dominik T. Matt, Margherita Molinaro, Guido Orzes
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	167-181
Number of pages	15
ISBN (Print)	9783031382734
DOIs	https://doi.org/10.1007/978-3-031-38274-1_15
Publication status	Published - 2023
Event	Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 - Bolzano, Italy Duration: 22 Jun 2023 → 23 Jun 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	745 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023
Country/Territory	Italy
City	Bolzano
Period	22/06/23 → 23/06/23

Keywords

Color Detection
Image Processing
Light Impact
Machine Vision
Yolov8

Access to Document

10.1007/978-3-031-38274-1_15

Cite this

Shaloo, M., Princz, G., & Erol, S. (2023). Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. In Y. Borgianni, D. T. Matt, M. Molinaro, & G. Orzes (Eds.), Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 (pp. 167-181). (Lecture Notes in Networks and Systems; Vol. 745 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-38274-1_15

Shaloo, Masoud ; Princz, Gábor ; Erol, Selim. / Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. editor / Yuri Borgianni ; Dominik T. Matt ; Margherita Molinaro ; Guido Orzes. Springer Science and Business Media Deutschland GmbH, 2023. pp. 167-181 (Lecture Notes in Networks and Systems).

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title = "Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning",

keywords = "Color Detection, Image Processing, Light Impact, Machine Vision, Yolov8",

author = "Masoud Shaloo and G{\'a}bor Princz and Selim Erol",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 ; Conference date: 22-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1007/978-3-031-38274-1\_15",

language = "English",

isbn = "9783031382734",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "167--181",

editor = "Yuri Borgianni and Matt, \{Dominik T.\} and Margherita Molinaro and Guido Orzes",

booktitle = "Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023",

}

Shaloo, M, Princz, G & Erol, S 2023, Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. in Y Borgianni, DT Matt, M Molinaro & G Orzes (eds), Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. Lecture Notes in Networks and Systems, vol. 745 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 167-181, Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023, Bolzano, Italy, 22/06/23. https://doi.org/10.1007/978-3-031-38274-1_15

Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. / Shaloo, Masoud; Princz, Gábor ; Erol, Selim.
Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. ed. / Yuri Borgianni; Dominik T. Matt; Margherita Molinaro; Guido Orzes. Springer Science and Business Media Deutschland GmbH, 2023. p. 167-181 (Lecture Notes in Networks and Systems; Vol. 745 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shaloo, Masoud

AU - Princz, Gábor

AU - Erol, Selim

PY - 2023

Y1 - 2023

KW - Color Detection

KW - Image Processing

KW - Light Impact

KW - Machine Vision

KW - Yolov8

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U2 - 10.1007/978-3-031-38274-1_15

DO - 10.1007/978-3-031-38274-1_15

M3 - Conference contribution

AN - SCOPUS:85172011553

SN - 9783031382734

T3 - Lecture Notes in Networks and Systems

SP - 167

EP - 181

BT - Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023

A2 - Borgianni, Yuri

A2 - Matt, Dominik T.

A2 - Molinaro, Margherita

A2 - Orzes, Guido

PB - Springer Science and Business Media Deutschland GmbH

T2 - Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023

Y2 - 22 June 2023 through 23 June 2023

ER -

Shaloo M, Princz G , Erol S. Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning. In Borgianni Y, Matt DT, Molinaro M, Orzes G, editors, Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 167-181. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-38274-1_15

Real-Time Color Detection for Automated Production Lines Using CNN-Based Machine Learning

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