Computer vision application for improved product traceability in the granite manufacturing industry

  1. Martínez, J. 1
  2. Rigueira, X. 2
  3. Araújo, M. 2
  4. Giráldez, E. 2
  5. Recamán, A. 3
  1. 1 Department of Applied Mathematics I, University of Vigo
  2. 2 Department of Natural Resources and Environmental Engineering, University of Vigo
  3. 3 Pavestone S.L.
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Journal:
Materiales de construcción

ISSN: 0465-2746

Year of publication: 2023

Volume: 73

Issue: 351

Type: Article

DOI: 10.3989/MC.2023.308922 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Materiales de construcción

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Abstract

La trazabilidad de los bloques de granito consiste en identificar cada bloque con un número finito de bandas de color, las cuales representan un código numérico. Dicho código tiene que ser leído varias veces durante el proceso de producción, pero la precisión de esta lectura se encuentra afectada por el factor humano, lo cual lleva a fallos en el sistema. Se presenta un sistema de visión artificial basado en la detección de colores y la decodificación de dichas bandas. El sistema hace uso de transformaciones entre espacios de color y varios intervalos para la selección de los mismos. Se implementan métodos de visión artificial, incluyendo la detección de contornos para la identificación de la posición de los colores. En último lugar, se analiza la geometría del patrón de colores para su decodificación. El algoritmo propuesto es entrenado en un set de 109 imágenes tomadas en diferentes condiciones medioambientales y validado en un set de 21 imágenes. Los resultados son prometedores, demostrando una eficacia del 75% en el proceso de validación. Por lo tanto, el sistema propuesto se considera de utilidad a la hora de incrementar la eficacia de la trazabilidad en la industria del granito.

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