Utilize este identificador para referenciar este registo: http://hdl.handle.net/20.500.11960/2856
Título: Using AR interfaces to support industrial maintenance procedures
Autores: Cachada, Ana
Costa, David
Badikyan, Hasmik
Barbosa, José
Leitão, Paulo
Morais, Osmano
Teixeira, Carlos
Azevedo, João
Moreira, Pedro Miguel
Romero, Luís
Palavras-chave: Augmented reality
Maintenance operations
Industry 4.0
Data: 2019
Editora: IEEE
Citação: Cachada, A., Costa, D., Badikyan, H., Barbosa, J., Leitão, P., Morais, O., Teixeira, C., Azevedo, J., Moreira, P. M. & Romero, L. (2019). Using AR interfaces to support industrial maintenance procedures. In Universidade Nova de Lisboa (Org.), Proceedings IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, (pp. 3795-3800). IEEE. https://doi.org/10.1109/IECON.2019.8927815.
Resumo: Industries are becoming more and more digitized to better implement intelligent and predictive maintenance support systems, aligned with Industry 4.0, which requires the progressive digitization of data collection and processes. Maintenance interventions, in an evolving technological context, are increasingly more complex and difficult for technicians to perform. In these environments, the use of Augmented Reality (AR) to help assist and guide in the maintenance operations, can accomplish a considerable gain in productivity. AR allows to superimpose information objects in real scenes, such as text, images, audiovisuals, and 2D/3D model animations, making available contextual information about the process, based on location and perspective. This paper describes the design and implementation of a prototype augmented reality application to support maintenance tasks inside a metal stamping production unit, that produces components for the automotive sector. It aims to train and guide personnel during the maintenance operations, and offering an extra channel to reach expert help.
URI: http://hdl.handle.net/20.500.11960/2856
ISBN: 978-1-7281-4878-6
ISSN: 2577-1647
Aparece nas colecções:ESTG - Artigos indexados à WoS/Scopus

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