Coldstack for Drones & aerial autonomy
Log search for drone and aerial-autonomy fleets
Your drones capture vision and sensors on every flight. Coldstack finds the events and edge cases across the whole fleet in one query.
Your data
Drone and aerial-autonomy fleets — inspection, mapping, security, delivery — capture high-resolution vision and sensor data on every flight. Volumes add up quickly across a fleet, and the moments that matter (a detected event, an anomaly, a near-miss) are a small slice of many hours of routine flight.
The problem
Detections and events are buried in hours of routine flight
Finding every flight where a specific event or object appeared means searching the whole fleet's footage, not scrubbing one flight at a time.
Improving detection models needs the hard frames
Your perception models improve fastest on the frames they got wrong — but those are scattered across the fleet and hard to find by hand.
Flight data grows faster than you can review it
Every flight adds data; without search, most of it is never looked at again, and the useful moments in it are lost.
What you can ask
Search your whole fleet in one query — by signal, image, and metadata.
- frames that look like the object class the detector misses
- every flight with a GPS or link dropout over a threshold
- aerial scenes matching a described anomaly
- all flights over site B last week with an event flag
Matched moments export straight to a LeRobot-compatible dataset. Raw MCAP stays in your own bucket the whole time.
Questions
Can Coldstack search aerial imagery by content?
Yes. Sampled frames are embedded, so you can search by an example image or a text description and get ranked matches across every flight in the fleet.
Does our flight data leave our storage?
No. Raw logs stay in your own bucket; Coldstack keeps only the compact index.
Can we export findings for training?
Yes. Matched frames and clips export to a LeRobot-compatible dataset for your next training run.