Introducing enhanced automation, advanced LiDAR capabilities, and a range of quality-of-life updates.
Following the release of RealityScan Mobile 1.8, the first update since June for RealityScan is here, and it takes automation to the next level. A new, comprehensive set of documentation is now available, providing everything you need to refine your RealityScan automation workflows. From the commands you already know to brand-new guides, samples, and expanded functionality, it's all there.
There's also a new templating system, a complete rebrand of the reporting workflow. It should upgrade your pipelines by automating data extraction, formatting results, and generating reports directly from your projects.
RealityScan 2.1 further expands what's possible with LiDAR-based workflows. You can now import SLAM (Simultaneous Localization and Mapping) data, including trajectories, images, and point clouds, and merge it with photogrammetry or terrestrial laser scans. In addition to SLAM data import, RealityScan 2.1 now supports importing classified point clouds in LAS and LAZ formats.
This release offers more export options for registration, like OpenCV format, the ability to render from the exact positions of your cameras, with matching distortion, not just for textured models but also for normals, and a new colored checker map for UVs, making it easier to visualize and refine unwraps.
Learn more about RealityScan 2.1 here and check out 80 Level's new digital art courses, subscribe to our Newsletter, and join our 80 Level Talent platform, follow us on Twitter, LinkedIn, Telegram, and Instagram, where we share breakdowns, the latest news, awesome artworks, and more.