A traditional paper guide for industrial maintenance tasks has been transformed into a digital one composed of three augmented reality supports: augmented reality glasses, spatial projection, and video stream superimposition. For the last two, the recording is done by a 6 degree of freedom (trasnlation and rotations) tracking algorithms by deep learning on synthetically generated data. Tests in an industrial environment showed very good results and also that each support has its own advantages depending on the to-do task.
Détails
Titre
Improving a digital manufacturing operation manueal thanks to augmented reality : gamification design of a carpolling-based freight transport
Auteur(s)/ trice(s)
Collet, Axel (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland) Duay, Valérie (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland) Bourquin, Stéphane (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland) Gobron, Stéphane (Haute école Arc Ingénierie (HE-Arc Ingénierie), HES-SO Haute Ecole Spécialisée de Suisse Occidentale) Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Date
2020-11
Publié dans
Proceedings of GSGS'20 : 5th Gamification & Serious Game Symposium, September-November 2020, Switzerland