Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills

Richard Xavier Sánchez Pozo; Víctor Larco

doi:10.1007/978-3-031-24327-1_19

Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills

Richard Xavier Sánchez Pozo, Víctor Larco

Micro-nanotechnology and Nuclear Energy Research Group (NANOTECH)

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

Abstract

In the steel industry, it is not possible to measure billets’ length at the end of the cutting process of a continuous casting machine, due to the high temperatures. To have this measure the billets have to have natural cooling for 24 h. The system developed captures an image of the billets and gets its length in real-time using the AdaBoost algorithm, this algorithm is an artificial vision application through the color segmentation method in HSV space. The system allows obtaining a calculated length near to 99% of the real.

Original language	English
Title of host publication	Intelligent Technologies
Subtitle of host publication	Design and Applications for Society - Proceedings of CITIS 2022
Editors	Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	214-224
Number of pages	11
ISBN (Print)	9783031243264
DOIs	https://doi.org/10.1007/978-3-031-24327-1_19
State	Published - 2023
Event	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duration: 22 Jun 2022 → 24 Jun 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	607 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
Country/Territory	Ecuador
City	Guayaquil
Period	22/06/22 → 24/06/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Artificial vision
Casting machine
Cutting process
HSV space
Length of billets
Segmentation method

Access to Document

10.1007/978-3-031-24327-1_19

Cite this

Sánchez Pozo, R. X., & Larco, V. (2023). Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. In V. Robles-Bykbaev, J. Mula, & G. Reynoso-Meza (Eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022 (pp. 214-224). (Lecture Notes in Networks and Systems; Vol. 607 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24327-1_19

Sánchez Pozo, Richard Xavier ; Larco, Víctor. / Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. editor / Vladimir Robles-Bykbaev ; Josefa Mula ; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. pp. 214-224 (Lecture Notes in Networks and Systems).

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abstract = "In the steel industry, it is not possible to measure billets{\textquoteright} length at the end of the cutting process of a continuous casting machine, due to the high temperatures. To have this measure the billets have to have natural cooling for 24 h. The system developed captures an image of the billets and gets its length in real-time using the AdaBoost algorithm, this algorithm is an artificial vision application through the color segmentation method in HSV space. The system allows obtaining a calculated length near to 99% of the real.",

keywords = "Artificial vision, Casting machine, Cutting process, HSV space, Length of billets, Segmentation method",

author = "{S{\'a}nchez Pozo}, {Richard Xavier} and V{\'i}ctor Larco",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 ; Conference date: 22-06-2022 Through 24-06-2022",

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Sánchez Pozo, RX & Larco, V 2023, Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. in V Robles-Bykbaev, J Mula & G Reynoso-Meza (eds), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Lecture Notes in Networks and Systems, vol. 607 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 214-224, 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022, Guayaquil, Ecuador, 22/06/22. https://doi.org/10.1007/978-3-031-24327-1_19

Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. / Sánchez Pozo, Richard Xavier; Larco, Víctor.
Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. ed. / Vladimir Robles-Bykbaev; Josefa Mula; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. p. 214-224 (Lecture Notes in Networks and Systems; Vol. 607 LNNS).

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

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N2 - In the steel industry, it is not possible to measure billets’ length at the end of the cutting process of a continuous casting machine, due to the high temperatures. To have this measure the billets have to have natural cooling for 24 h. The system developed captures an image of the billets and gets its length in real-time using the AdaBoost algorithm, this algorithm is an artificial vision application through the color segmentation method in HSV space. The system allows obtaining a calculated length near to 99% of the real.

AB - In the steel industry, it is not possible to measure billets’ length at the end of the cutting process of a continuous casting machine, due to the high temperatures. To have this measure the billets have to have natural cooling for 24 h. The system developed captures an image of the billets and gets its length in real-time using the AdaBoost algorithm, this algorithm is an artificial vision application through the color segmentation method in HSV space. The system allows obtaining a calculated length near to 99% of the real.

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KW - Casting machine

KW - Cutting process

KW - HSV space

KW - Length of billets

KW - Segmentation method

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Sánchez Pozo RX, Larco V. Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. In Robles-Bykbaev V, Mula J, Reynoso-Meza G, editors, Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 214-224. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-24327-1_19

Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills

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