INTEGRATING PARAMETRIC MODELING, COMPUTER VISION, AND MIXED REALITY: REAL-TIME QUALITY CONTROL IN CRAFTSMANSHIP

Simon K. Hoeng1, Christoph Julian Holzfurtner1, Anne-Sophie Saffert1
1 Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany
DOI: 10.35490/EC3.2026.445
Abstract: European craftsmanship suffers from shrinking apprenticeships and skill shortages while project demands continue to grow. High tech, hands on workflows can both modernize existing practices and renew interest among potential future workers. We present and evaluate an endto-end framework that couples Parametric Modeling, Artificial Intelligence (AI) in the form of Computer Vision (CV), and Mixed Reality (MR) to support real time assistive quality control in stone paving, serving as a representative, under-digitized craft domain. The work also demonstrates how the core CV pipeline can be embedded in a course format for students or craftspeople to cultivate practical AI skills, highlighting the demand for high-tech integration in craftsmanship and related education.
Keywords: Artificial Intelligence (AI), Computer Vision (CV), Digital Support in Craftmanship, Mixed Reality (MR), Parametric Modeling

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