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MA2RA - Manual Assembly Augmented Reality Assistant

 
: König, M.; Stadlmaier, M.; Rusch, T.; Sochor, R.; Merkel, L.; Braunreuther, S.; Schilp, J.

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Institute of Electrical and Electronics Engineers -IEEE-; Institute of Electrical and Electronics Engineers -IEEE-, Singapore Section:
IEEE International Conference on Industrial Engineering and Engineering Mangement, IEEM 2019 : 15-18 December 2019, Macau
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-3804-6
ISBN: 978-1-7281-3803-9
ISBN: 978-1-7281-3805-3
S.501-505
International Conference on Industrial Engineering and Engineering Management (IEEM) <2019, Macau>
Englisch
Konferenzbeitrag
Fraunhofer IGCV ()

Abstract
Cyber-physical systems and automation play a major role in Industry 4.0. However, due to its flexibility and high responsiveness to short-term changes in the assembly of complex and varied products, manual work cannot be neglected. Cognitive assistance systems relieve the mental stress of a worker and thus help prevent mistakes during the assembly process. Systems utilizing augmented reality (AR) technologies are suitable for manual operations. In order to motivate the development needs of industrial augmented reality (IAR) applications, a prototype is described below. This paper focuses on the conceptual development and the implementation of a prototype assistance system. By using AR glasses and a data glove, an inexperienced worker is guided through a demonstrative assembly process where each assembly step is documented by the system. Finally, a user test is performed to evaluate the prototype.

: http://publica.fraunhofer.de/dokumente/N-629168.html