DroneOS turns hours of aerial video into searchable intelligence — on your own hardware, with no cloud dependency and no footage ever leaving your control.
Ask in plain language. "person near the perimeter" → 20 results, 99% top match, each with an AI scene summary, detection class, GPS, and timestamp. Hybrid ranking — semantic similarity plus object and keyword overlap — re-ranked by a local 14B LLM running at 100% GPU. Six health checks green in the live system panel.
A live detection box — boat, 58% confidence — rendered over playing 60 fps footage, with GPS coordinates burned into the frame, the flight track on the location panel, and operator notes alongside. Toggle boxes, adjust the threshold, export a clip ±5 seconds, or share a deep link that lands a colleague at this exact second.
Every asset carries operator metadata: a display name, a location label like "North Perimeter, Site A", mission notes, tags, and a GPS track — pin one point for the whole video or scrub and drop waypoints so the marker moves. Beside it, the AI writes a timestamped scene log for every segment; analysts can correct any line, and corrections are re-embedded into the search index so human truth beats AI guess.
Drop in a mission or point at a memory card. DroneOS preserves an immutable original with a SHA-256 hash computed during copy — chain of custody starts at ingest — then transcodes, extracts keyframes, runs GPU detection, and indexes everything for semantic search. Jobs are persistent and resumable.
Plain-language queries hit a hybrid engine: semantic similarity plus keyword and object matching, fused, then re-ranked by a local 14B LLM that weighs actions and relationships — not just objects. Search never hard-fails; if a model is unavailable, results degrade gracefully instead of going dark.
Jump to the moment. Share a deep link that lands a colleague at the same second. Export a clip. Generate a mission PDF — stats, detection summary, asset inventory with SHA-256 hashes, keyframe highlights with analyst notes. Save any query as a watchlist: new footage is auto-scored on ingest, matches raise alerts for human review.
Each ingestion becomes a mission — here, Site A — Perimeter Patrol: 65 videos, 2h 18m — browsable, searchable within the mission, and exportable as a report in one click. Every asset carries its operator label: North Perimeter, East Gate, Substation 12 — Transmission Corridor.
DJI flight-log sidecars are parsed automatically, and every video is pinned on the mission map — the live archive spans eight geolocated sites across three markets: defense (Sector 9 — Access Road Patrol), critical infrastructure (Pipeline Segment 7 — River Crossing, Transmission Line 4B — Vegetation Survey), and public safety (Search Grid C — Ridgeline Sector, Flood Response — Riverside District).
Save any search as a standing watchlist — "person near the perimeter," "vehicles entering the area," "person carrying a backpack". Every new video is auto-scored against them on ingest, and matches raise alerts for an analyst to approve or dismiss. The rule is printed at the top of the screen: all AI warnings require human review.
Stats, detection summary, a hash-verified asset inventory, and keyframe highlights with analyst notes — a full 65-video mission compiled into a compact PDF in seconds. Every asset carries the SHA-256 computed at ingest, so the report is a chain-of-custody document, not just a summary.
| Asset | Label | SHA-256 |
|---|---|---|
| DJIG0001 | North Perimeter, Site A | e3a1…9f27 ✓ |
| DJI_0044 | Sector 9 — Access Road Patrol | 77bc…12d4 ✓ |
| DJI_0047 | Substation 12 — Transmission Corridor | c09e…88a1 ✓ |
| DJI_0042 | Search Grid C — Ridgeline Sector | 5f2d…e6b0 ✓ |
DroneOS runs as a single process on your hardware. The backend binds to localhost only. Zero telemetry, no CDN dependencies, and a fully pinned software supply chain with automated drift detection in CI. Local Only mode keeps every AI operation on-device, with your GPU auto-detected — the captures above are running vision and a 14B LLM entirely on an AMD laptop GPU.
Designed for air-gapped, local-first operation; formal certifications are on the roadmap.
Windows installer: per-user, no admin rights required.
Ingestion, AI detection, search, video, and maps are shipping now — everything above is a capture of the running product. These modules are in-app Labs previews, labeled "coming in a later phase."
Cross-mission patterns, predictive alerts, activity heatmaps.
Orthomosaics, 3D models, before/after, GIS & ATAK export.
Batch export, daily briefs, evidence packages.
Coverage-gap suggestions for the next flight.
Object re-ID, live RTMP/RTSP ingest, privacy redaction.
Everything on this page is the real product, captured live: a 65-video mission — over two hours of genuine 4K drone footage across eight sites — searched, mapped, and reported on a laptop. With the network off.
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