Abstract
In the competitive automotive market, where extremely high-quality standards must be ensured independently of the growing product and manufacturing complexity brought by customization, reliable and precise detection of any non-conformities before the vehicle leaves the assembly line is paramount. In this paper we propose a wearable solution to aid quality control workers in the detection, visualization and relay of any non-conformities, while also reducing known performance issues such as skill gaps and fatigue, and improving training methods. We also explore how the reliability, precision and validity tests of the visualization module of our framework were performed, guaranteeing a 0% chance occurrence of undesired non-conformities in the following usability tests and training simulator.
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Acknowledgements
This work was funded by Project “INDTECH 4.0 – New Technologies for smart manufacturing”, n.º POCI- 01-0247-FEDER-026653, financed by the European Regional Development Fund (ERDF), through the COMPETE 2020 - Competitiveness and Internationalization Operational Program (POCI).
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Campaniço, A.T., Khanal, S., Paredes, H., Filipe, V. (2021). Worker Support and Training Tools to Aid in Vehicle Quality Inspection for the Automotive Industry. In: Reis, A., Barroso, J., Lopes, J.B., Mikropoulos, T., Fan, CW. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2020. Communications in Computer and Information Science, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-73988-1_35
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