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

Grupo de Investigación en Micro-nanotecnología y Energía Nuclear (NANOTECH)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Technologies
Subtítulo de la publicación alojada	Design and Applications for Society - Proceedings of CITIS 2022
Editores	Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	214-224
Número de páginas	11
ISBN (versión impresa)	9783031243264
DOI	https://doi.org/10.1007/978-3-031-24327-1_19
Estado	Publicada - 2023
Evento	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duración: 22 jun. 2022 → 24 jun. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	607 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
País/Territorio	Ecuador
Ciudad	Guayaquil
Período	22/06/22 → 24/06/22

Nota bibliográfica

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

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

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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. En 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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title = "Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills",

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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doi = "10.1007/978-3-031-24327-1_19",

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series = "Lecture Notes in Networks and Systems",

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

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Larco, Víctor

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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. En Robles-Bykbaev V, Mula J, Reynoso-Meza G, editores, 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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