Scene reconstruction

A jury can only decide what it can see. We deliver 3D reconstructions of the scenes at issue in your case — from imagery your investigator captured, from imagery we capture ourselves, or from a mix of both.

Placeholder for scene reconstruction heroIllustrative image — actual case work is confidential.

Capture

  • UAV / drone. Part 107 pilots on staff. Field-flown collapse sites, wildland-fire perimeters, aircraft-crash debris fields, structure fires and traffic sites.
  • Ground stereophotogrammetry. Hundreds-to-thousands-of-image reconstructions of interiors and industrial equipment, using calibration fiducials of our own design.
  • LIDAR / laser scanning. Terrestrial scans for point-cloud reconstruction. Author of open-source contributions to the LIDAR data-processing toolchain.
  • Gaussian splat capture. Polycam and comparable capture, processed on our own GPU stack for high-fidelity radiance-field scenes.
  • Photogrammetry from historical imagery. Archival aerial photography research, acquisition, processing and analysis — including flights that predate satellite imagery.

Reconstruction pipeline

  • Structure-from-motion for image sets
  • Multi-view stereo dense-point reconstruction
  • Gaussian-splat training on our own GPU stack
  • Point-cloud registration and cleanup (LAS / LAZ)
  • Photogrammetric surface-mesh extraction via voxel or Poisson methods
  • Cross-registration of drone, ground and LIDAR captures into a single unified scene

Courtroom presentation without internet

Our own local, air-gapped 3D viewer. Scenes are delivered on a self-contained laptop or tablet with no external network dependency. Judges, juries and opposing counsel see the same fluid navigation whether the venue has Wi-Fi or not.

  • Runs on Windows and popular mobile devices
  • Supports point clouds, meshes, Gaussian splats and analysis overlays in one session
  • No cloud call at any point during presentation
  • Chain-of-custody-friendly output: every scene carries a JSON manifest of source captures, timestamps and processing steps
  • Capable of presenting Matterport-built scenes pre-downloaded from the cloud
Placeholder for viewer screenshotIllustrative image — actual case work is confidential.

Flight-path forensics

Extract, verify and visualize drone flight logs when a drone’s operation is disputed — privacy trespass, near-miss, restricted-airspace incidents, accident investigation. We also reconstruct camera poses from action-cam or terrestrial security-camera footage when no telemetry survives.

Aviation-accident visualization

3D flight-path reconstruction over the terrain, correlated with ADS-B, weather at time of the event, and the physical scene evidence.

Placeholder for aviation sceneIllustrative image — actual case work is confidential.

Body-camera and multi-camera synchronized review

For officer-involved incidents, we combine body-cam, dash-cam, cell-phone bystander video, business surveillance and 911 audio into one navigable timeline. Everything scrubs together, keyed to a single clock.

Daubert and admissibility. We build reconstructions to be defensible. Every scene ships with a JSON manifest of source captures, capture parameters, processing steps, and — for anything that touched a Gaussian-splat or generative reconstruction — a clear note describing which portions of the model are direct measurement and which are algorithmic interpolation. Written methodology available on request. Testifying declarant available in-network.

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