Hegarty, ZackarySaari, MichaelCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253286https://diglib.eg.org/handle/10.2312/dh20253286This preliminary project report proposes a low-cost quality assurance step for digital documentation workflows using consumer-grade LiDAR on mobile smart devices. We explore if LiDAR-generated meshes can be used to scale photogrammetry models post hoc, addressing scaling errors caused by human input. Preliminary tests on replica cultural heritage objects show scaling accuracy within 3.5% of photogrammetric reference models, with minimal local deviation. The method is fast, relatively low-cost, and requires almost no specialized training, making it a practical fallback in constrained field conditions. While not a replacement for traditional methods, it has the capacity to improve the reliability of digitization workflows with minimal overhead.Attribution 4.0 International LicenseCCS Concepts Hardware → Communication hardware, interfaces and storage → ScannersCCS Concepts Hardware → Communication hardwareinterfaces and storage → Scanners10.2312/dh.202532862 pages