Every frame,
turned into data.

Method

1. Ingest

   A clip is not one thing, it is thousands. Metadata and per-frame telemetry come off first. Position, altitude, shutter, ISO, time. Measured, never inferred.

2. Detect

   OpenCV and YOLO find what is in the frame and hold it across time as a track. Seconds of footage become thousands of rows: object, position, size, confidence, frame.

3. Resolve

   Detection knows where. Never who. A person names each track once, and the identity holds through occlusion and re-entry. Most pipelines skip that step. It is the one that makes the data worth keeping.

4. Field

   The drone is one sensor among several. Where it flies the tracker rides along, so the flight log and the vision output land as a single dataset.

5. Network

   All of it runs on NAVADA Edge, our own machines on a private mesh. No rented seats, no queue behind somebody else's render. We own the metal, so we can afford to be interesting.