Service

Digital twins from drone video, and training data made inside them

Detection models for drones need thousands of labelled aerial images of the places they will fly over. I rebuild the real place once from drone footage and generate labelled data inside it, using only commercially usable licences.

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What you get

  • A survey plan: height, ground resolution, orbits and overlap
  • Camera poses aligned to GPS and a photorealistic Gaussian-splat scene
  • A collision mesh and the twin in Isaac Sim with PX4 flights
  • Labelled data in COCO and YOLO formats for training detectors

Questions

How expensive is it to compute?
The first cloud run built 597k Gaussians from 88 photos for $0.75 of GPU time, debugging included.
Can it run on our own hardware?
The light steps can. Structure from motion and splat training need a GPU, rented in the cloud when there is none locally.

Describe your task

Send what you have now and what should change. I reply with how I would build it and how long it would take.

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