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The pioneer in mobile-first 3D photogrammetry and spatial environment capture.
Professional-grade 3D scanning powered by LiDAR and TrueDepth for high-fidelity spatial capture.
Heges is a high-performance 3D scanning application engineered for the iOS ecosystem, specifically optimized for devices equipped with TrueDepth and LiDAR sensors. By 2026, Heges has solidified its position as the premier mobile tool for engineering-grade spatial capture, bridging the gap between consumer smartphones and industrial 3D scanners. The technical architecture leverages active depth sensing rather than traditional photogrammetry, allowing for real-time mesh generation with sub-millimeter precision when using the TrueDepth camera. Its unique selling proposition lies in its 'Infinite Scanning' capability, which utilizes advanced SLAM (Simultaneous Localization and Mapping) algorithms to allow users to capture large environments without being restricted by memory buffers, provided there is sufficient storage. For the professional market, Heges offers a robust suite of export options and a Screen Sharing feature that enables real-time monitoring of scans on a secondary device via a local Wi-Fi connection. This makes it an essential tool for architects, industrial designers, and medical professionals who require rapid, accurate 3D data without the overhead of heavy-duty hardware.
Uses iterative closest point (ICP) algorithms and storage-buffered SLAM to bypass RAM limitations during large-scale environment capture.
The pioneer in mobile-first 3D photogrammetry and spatial environment capture.
Photorealistic 3D scene reconstruction and cinematic rendering via Neural Radiance Fields.
Turn 2D Video into Hyper-Realistic 3D Assets with Advanced Neural Radiance Fields and Gaussian Splatting.
AI-Powered 3D Scanning with Photogrammetry, LiDAR, and Neural Radiance Fields.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Streams the real-time scan data to any device with a web browser via local network WebSockets.
Manual override to switch between the FaceID (TrueDepth) sensor for sub-millimeter precision and the LiDAR sensor for range.
Simultaneously records from both the front and back sensors on supported iOS hardware.
Uses ARKit to project the captured mesh back into the real world for scale verification.
Adjustable voxel size and depth truncation settings to balance file size with detail density.
Fuses RGB camera frames with depth data to produce high-density colored point clouds.
Creating perfectly fitted limb braces without expensive industrial scanners.
Registry Updated:2/7/2026
3D print orthotic
Rapidly capturing room dimensions and layouts.
Generating realistic base meshes of human faces for game dev.