Surface inspection of polyurethane foam by image processing and artificial neural networks techniques

  • Authors:

  • Arantza Bereciartua;José Angel Gutiérrez Olabarria;Artzai Picón;Alfonso Maestro Martínez;Jefe de Proyectos

  • Affiliations:

  • Dpto. Infotech, Infotech Dept., Robotiker, Corporación Tecnológica Tecnalia., Parque Tecnológico, Zamudio, Bizkaia, Spain;Dpto. Infotech, Infotech Dept., Robotiker, Corporación Tecnológica Tecnalia., Parque Tecnológico, Zamudio, Bizkaia, Spain;Dpto. Infotech, Infotech Dept., Robotiker, Corporación Tecnológica Tecnalia., Parque Tecnológico, Zamudio, Bizkaia, Spain;Ingenieria del Poliuretano Flexible, S.L., Lemoa, Vizcaya, Spain;Ingenieria del Poliuretano Flexible, S.L., Lemoa, Vizcaya, Spain

  • Venue:
  • ISCGAV'04 Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
  • Year:
  • 2004

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Abstract

Quality assurance is a necessity in the industrial processes. The machine vision technology is an efficient technology for the reliable and fast control of different types of products. This technology allows obtaining a big amount of visual information, superficial and dimensional at a high speed. The objective of this article is to describe a successful application of machine vision technology in a Foam production, a productive sector where this technology is scarcely inserted. The aim of this project is to obtain on-line visual parameters of the process in order to modify the variables of production immediately in an automated way. Those parameters were obtained off-line by means of human visual inspection two days later in a laboratory analysis before this project. The difficulty lies in the fact that visual characteristics of both samples (on-line and off-line) are very different.