3D scanning applications

Abstract

This article explores the evolution and growing accessibility of 3D-scanning technology, focusing on its transition from specialized hardware to consumer-grade mobile applications. Driven by advances in smartphone hardware, computational photography, and artificial intelligence, modern 3D scanner apps have significantly enhanced capabilities in data acquisition, feature matching, 3D reconstruction, and post-processing. The integration of technologies such as LiDAR sensors, SLAM algorithms, neural rendering (NeRF), and lightweight processing frameworks enables efficient, high-fidelity modeling directly on mobile devices. Furthermore, the paper discusses practical applications in e-commerce, cultural heritage preservation, and healthcare, highlighting the potential for mainstream adoption. Key challenges, including computational constraints, lack of standardization, and data privacy concerns, are also analyzed. As supporting technologies like light field cameras and 6G continue to develop, 3D scanning is poised to become a pivotal interface bridging the physical and digital worlds.