Industrial non-intrusive coded-target identification and decoding application

Miguel Fernandez-Fernandez; Carmen Alonso-Montes; A. Bertelsen; A. Mendikute

doi:10.1007/978-3-642-38628-2_94

Industrial non-intrusive coded-target identification and decoding application

Miguel Fernandez-Fernandez
, Carmen Alonso-Montes
, A. Bertelsen
, A. Mendikute

IDEKO

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

7 Citas (Scopus)

Resumen

Non-intrusive and automatic raw part alignment for machining process is a current challenge for industry, due to the high cost of bad machining. The use of artificial markers, such as coded-targets (CT) provides a promising technique to be applied within industrial environments due to its robustness, non-intrusive nature and low cost. In this paper, an CT identification and decoding algorithm is presented. CT are used for the geometry characterization of the raw part. Its promising results allow us to introduce their usage within a real industrial machine.

Idioma original	Inglés
Título de la publicación alojada	Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings
Páginas	790-797
Número de páginas	8
DOI	https://doi.org/10.1007/978-3-642-38628-2_94
Estado	Publicada - 2013
Publicado de forma externa	Sí
Evento	6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013 - Funchal, Madeira, Portugal Duración: 5 jun 2013 → 7 jun 2013

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	7887 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013
País/Territorio	Portugal
Ciudad	Funchal, Madeira
Período	5/06/13 → 7/06/13

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura

Acceder al documento

10.1007/978-3-642-38628-2_94

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Enlace a la publicación en Scopus

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Fernandez-Fernandez, M., Alonso-Montes, C., Bertelsen, A., & Mendikute, A. (2013). Industrial non-intrusive coded-target identification and decoding application. En Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings (pp. 790-797). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7887 LNCS). https://doi.org/10.1007/978-3-642-38628-2_94

Fernandez-Fernandez, Miguel ; Alonso-Montes, Carmen ; Bertelsen, A. et al. / Industrial non-intrusive coded-target identification and decoding application. Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings. 2013. pp. 790-797 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ed358b2b24304fcd92d04f19306f66d8,

title = "Industrial non-intrusive coded-target identification and decoding application",

abstract = "Non-intrusive and automatic raw part alignment for machining process is a current challenge for industry, due to the high cost of bad machining. The use of artificial markers, such as coded-targets (CT) provides a promising technique to be applied within industrial environments due to its robustness, non-intrusive nature and low cost. In this paper, an CT identification and decoding algorithm is presented. CT are used for the geometry characterization of the raw part. Its promising results allow us to introduce their usage within a real industrial machine.",

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Fernandez-Fernandez, M, Alonso-Montes, C, Bertelsen, A & Mendikute, A 2013, Industrial non-intrusive coded-target identification and decoding application. En Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7887 LNCS, pp. 790-797, 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, Funchal, Madeira, Portugal, 5/06/13. https://doi.org/10.1007/978-3-642-38628-2_94

Industrial non-intrusive coded-target identification and decoding application. / Fernandez-Fernandez, Miguel; Alonso-Montes, Carmen; Bertelsen, A. et al.
Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings. 2013. p. 790-797 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7887 LNCS).

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

TY - GEN

T1 - Industrial non-intrusive coded-target identification and decoding application

AU - Fernandez-Fernandez, Miguel

AU - Alonso-Montes, Carmen

AU - Bertelsen, A.

AU - Mendikute, A.

PY - 2013

Y1 - 2013

N2 - Non-intrusive and automatic raw part alignment for machining process is a current challenge for industry, due to the high cost of bad machining. The use of artificial markers, such as coded-targets (CT) provides a promising technique to be applied within industrial environments due to its robustness, non-intrusive nature and low cost. In this paper, an CT identification and decoding algorithm is presented. CT are used for the geometry characterization of the raw part. Its promising results allow us to introduce their usage within a real industrial machine.

AB - Non-intrusive and automatic raw part alignment for machining process is a current challenge for industry, due to the high cost of bad machining. The use of artificial markers, such as coded-targets (CT) provides a promising technique to be applied within industrial environments due to its robustness, non-intrusive nature and low cost. In this paper, an CT identification and decoding algorithm is presented. CT are used for the geometry characterization of the raw part. Its promising results allow us to introduce their usage within a real industrial machine.

KW - coded-target

KW - industrial application

KW - segmentation

UR - https://www.scopus.com/pages/publications/84883202050

U2 - 10.1007/978-3-642-38628-2_94

DO - 10.1007/978-3-642-38628-2_94

M3 - Conference contribution

AN - SCOPUS:84883202050

SN - 9783642386275

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 790

EP - 797

BT - Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings

T2 - 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013

Y2 - 5 June 2013 through 7 June 2013

ER -

Fernandez-Fernandez M, Alonso-Montes C, Bertelsen A, Mendikute A. Industrial non-intrusive coded-target identification and decoding application. En Pattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings. 2013. p. 790-797. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38628-2_94

Industrial non-intrusive coded-target identification and decoding application

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

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