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Visualizing Standardized Model-based Design and Inspection Data in Augmented Reality

Published

Author(s)

Teodor Vernica, Robert R. Lipman, Thomas Kramer, Soonjo Kwon, William Z. Bernstein

Abstract

Augmented reality (AR) technologies present immense potential for the design and manufacturing communities. However, coordinating traditional engineering data representations into AR systems without loss of context and information remains a challenge. A major barrier is the lack of interoperability between manufacturing-specific data models and AR-capable data representations. In response, we present a pipeline for porting standards-based design and inspection data into an AR scene. As a result, product manufacturing information with three-dimensional (3D) model data andcorresponding inspection results are overlaid onto a physical part. We demonstrate our pipeline by interacting with annotated parts while continuously tracking their pose and orientation. We then validate the pipeline by testing against six fully toleranced design models, accompanied by idealized inspection results. Our work (1) provides insight on how to address fundamental issues related to interoperability between domain-specific models and AR systems and (2)establishes an open software pipeline from which others can implement and further develop.
Citation
Journal of Computing and Information Science in Engineering
Volume
22

Keywords

Industrial Augmented Reality, Standards, Interoperability, Quality Information Framework, Inspection

Citation

Vernica, T. , Lipman, R. , Kramer, T. , Kwon, S. and Bernstein, W. (2022), Visualizing Standardized Model-based Design and Inspection Data in Augmented Reality, Journal of Computing and Information Science in Engineering, [online], https://doi.org/10.1115/1.4053154, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933076 (Accessed December 22, 2024)

Issues

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Created February 7, 2022, Updated November 29, 2022