Author(s): Gergely KOCSIS, Ondrej TAKÁČ

Title: COMPARING PHOTOGRAMMETRY APPS IN LOW-LIGHT CONDITIONS FOR EDUCATION

Source: F. Filip, Zs. Gódány, Š. Gubo, E. Korcsmáros, S. Tóbiás Kosár, T. Zsigmond (eds.): 16th International Conference of J. Selye University. Sections of the Faculty of Economics and Informatics. Conference Proceedings

ISBN: 978-80-8122-509-3

DOI: https://doi.org/10.36007/5093.2024.292

Publisher: J. Selye University, Komárno, Slovakia

PY, pages: 2024, 292-299

Published on-line: 2024

Language: en

Abstract: This research provides a comparative analysis of the results obtained from three different photogrammetry applications, focusing specifically on the quality and accuracy of the 3D scans produced by each. The applications used, named Luma AI: 3D Capture, Polycam 3D Scanner & Editor and 3D Scanner App are widely available in the Apple App store and Google Play. The Luma AI and Polycam apps were tested on an Android smartphone, the 3D Scanner app on an iOS system, because it uses the LIDAR technology found on Pro Apple devices. The applications were purposefully tested in poor lighting conditions, then the results were compared and the usability of the applications was evaluated based on this. Furthermore, based on the analysis of the obtained results, we examined the usefulness of each application in education.

Keywords: photogrammetry, artificial intelligence, 3d scanning, lidar, polycam, luma ai, education

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