10月1日 的 Scaniverse | Free 3D scanner 應用程式分析

3D mapping, reconstruction, and visual positioning from Niantic Spatial Scaniverse captures, reconstructs, and localizes physical environments — on your phone, and now in the cloud. It’s a foundation for AR, robotics, spatial computing, construction planning, and other apps and workflows that require high-fidelity 3D digital twins. Capture: Point your phone at any space and turn it into 3D data. - Scan spaces indoors and out, from a single room to a warehouse - Works with your mobile device’s cameras and sensors - Combine scans from multiple users and devices into one unified site project Reconstruct: Process scans into detailed, responsive 3D images. - State-of-the-art cloud processing turns your scans into immersive Gaussian splats for planning and simulations - Precise meshes for robotics simulation and collision geometry - Export in SPZ, PLY, GLB and FBX Localize: Test Niantic VPS 2.0 in app, deploy with NSDK. - Better than GPS everywhere, precise where you've mapped. - Works indoors, in urban canyons, and GPS-denied environments - Integrate via NSDK 4.0 for Unity, Swift, and Kotlin Accounts: Free tier for personal scanning and testing, with limited cloud processing and multi-user collaboration. Paid plans unlock more processing, bigger teams, 360° camera scans, and enterprise support. Still the world's best free 3D scanner: The classic Scaniverse experience you know is still here — unlimited on-device Gaussian splat capture and processing, several export formats including SPZ, and the shared global map. Nothing's changed. Scaniverse is built on the legacy of 25 years of geospatial innovation, including Google Earth and Google Maps. It’s the gateway to Niantic Spatial’s Large Geospatial Model, which builds on the same mission of making the world navigable and understandable, this time through a spatial AI for machines. 🔗 Learn more: scaniverse.com 🔗 Terms of use: scaniverse.com/terms 🔗 Privacy policy: https://www.nianticspatial.com/privacy-consumer and scaniverse.com/privacy