STARKSCAN

StarkScan is the same capture stack pointed at a different question. A survey scan is not judged on how it looks; it is judged on whether the dimension you take off it is the dimension that is there. That shifts everything toward tolerance, repeatability and provenance — knowing which pass a measurement came from, and being able to compare the same subject to itself across time.

• Optimised for measurement, not appearance
• Repeat passes comparable to each other
• Provenance carried with every measurement

LiDAR and photogrammetric capture on commodity hardware, reconstructed into measurable, navigable models — not decorative point clouds.

• Machine LearningGROUND TRUTH · Spatial & Sensor Data At Scale