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QualifyAR Development of an AR framework with extended sensor technology to support training and education in the aviation industry The complexity of the tasks of technical professions in the aviation industry is high. Research is therefore being conducted into new approaches to knowledge transfer for both training and continuing education. The QualifyAR research project aims to support the training of apprentices in aircraft construction. Especially in aircraft construction, the highest demands are placed on training. Accordingly, the use of digital and individual learning environments is being pursued with emphasis in order to improve learning success on the one hand and to prepare the later use of digital assistance systems in the productive process on the other. The QualifyAR project is dedicated to the development of an AR-based qualification system with integrated process step recognition and automated quality control. By means of an AR-framework and on the basis of predefined process databases, teachers should be able to digitally map even complex teaching tasks and to tailor them, taking into account the individual technologie-portfolio. Information and insights of the system are transmitted to the student via a human-system interface using AR-projection in a context-sensitive way. In this project BIBA is researching image-based process step recognition and the use of an IoT construction kit with a focus on signal processing, in order to be able to assess the quality of the task execution on the basis of 2D/3D image data as well as 1D process data, such as torques of cordless screwdrivers, by means of artificial intelligence. The project is realized together with our project partner Ubimax GmbH. Contact persons: A. Rohde   (Project manager)Funded by: BMWi Duration: 01.01.2020 - 31.12.2021 See project's publications List all projects |
