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Automated Visual Inspection of Non-Smooth Surfaces. Application to Cast Aluminum
Cita
Fernández Andrés, José Carlos 
ORCID: https://orcid.org/0000-0002-3004-1490, Platero Dueñas, Carlos ORCID: https://orcid.org/0000-0003-3712-8297, Campoy Cervera, Pascual ORCID: https://orcid.org/0000-0002-9894-2009 and Aracil Santonja, Rafael ORCID: https://orcid.org/0000-0002-2988-057X
(1995).
Automated Visual Inspection of Non-Smooth Surfaces. Application to Cast Aluminum.
"IFAC Proceedings Volumes", v. 28
(n. 19);
pp. 235-240.
ISSN 1474-6670.
https://doi.org/10.1016/S1474-6670(17)45086-5.
ORCID: https://orcid.org/0000-0002-3004-1490, Platero Dueñas, Carlos ORCID: https://orcid.org/0000-0003-3712-8297, Campoy Cervera, Pascual ORCID: https://orcid.org/0000-0002-9894-2009 and Aracil Santonja, Rafael ORCID: https://orcid.org/0000-0002-2988-057X
(1995).
Automated Visual Inspection of Non-Smooth Surfaces. Application to Cast Aluminum.
"IFAC Proceedings Volumes", v. 28
(n. 19);
pp. 235-240.
ISSN 1474-6670.
https://doi.org/10.1016/S1474-6670(17)45086-5.
Descripción
| Título: | Automated Visual Inspection of Non-Smooth Surfaces. Application to Cast Aluminum |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | IFAC Proceedings Volumes |
| Fecha: | 1 Septiembre 1995 |
| ISSN: | 1474-6670 |
| Volumen: | 28 |
| Número: | 19 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Industry automationQuality controlImage processingVisual Pattern RecognitionNeural nets |
| Escuela: | E.T.S.I. Diseño Industrial (UPM) |
| Departamento: | Ingeniería Eléctrica, Electrónica Automática y Física Aplicada |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
In this paper a general, low cost, arquitecture is described along with a methodologie for on-line defect detection and analysis in flat surfaces continously produced. On-line inspection of 100% production, along with the proper characteristics of inspection when texture is present force up the development of optimized algorithms for both detection and classification. Also hardware platforms that permit pipelined processing along with high modularity and are needed with a cost that make them competitive in every kind of surface visual inspection applications. An industrial application is described for quality assessment and process driving in cast aluminum obtention.
Más información
| ID de Registro: | 95584 |
|---|---|
| Identificador DC: | https://oa.upm.es/95584/ |
| Identificador OAI: | oai:oa.upm.es:95584 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/9939359 |
| Identificador DOI: | 10.1016/S1474-6670(17)45086-5 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 17 Abr 2026 08:34 |
| Ultima Modificación: | 21 Abr 2026 11:11 |
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