Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/2856
Title: Using AR interfaces to support industrial maintenance procedures
Authors: Cachada, Ana
Costa, David
Badikyan, Hasmik
Barbosa, José
Leitão, Paulo
Morais, Osmano
Teixeira, Carlos
Azevedo, João
Moreira, Pedro Miguel
Romero, Luís
Keywords: Augmented reality
Maintenance operations
Industry 4.0
Issue Date: 2019
Publisher: IEEE
Citation: 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.
Abstract: 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
Appears in Collections:ESTG - Artigos indexados à WoS/Scopus

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