TURN DRONE IMAGERY
INTO DECISIONS.
Upload UAV imagery and automatically transform it into geolocated infrastructure findings, risk priorities and professional reports. From drone imagery to an actionable damage map in minutes.
94.7% confidence
44.2267° N · 17.6658° E
Measured inside the application
Real metrics from the bundled demo mission
Images analyzed
0
Findings detected
0
Critical findings
0
Area inspected
0.0 km²
Processing duration
0m 34 s
Report generation
< 0 s
Figures shown from the bundled demo mission. Demo AI results are deterministic and labelled as demo results inside the product. Time savings are estimated from a baseline you configure in the Impact module, and the calculation is always shown.
The RapidGeo pipeline
Drone → AI → Digital Twin
One continuous pipeline: raw UAV frames are scanned by the AI vision engine, geolocated, reconstructed into geometry and converted into engineering insight.
The workflow
From drone imagery to an actionable report
Each stage maps to a module in the application — click a step to open it.
- 01DRONECollect UAV imagery with fleet-managed missions.Open
- 02IMAGESUpload mission photos with embedded GPS EXIF.Open
- 03AI DETECTIONMultimodal VLM detects and classifies defects.Open
- 04GEOLOCATIONEXIF coordinates place every finding on the map.Open
- 05GIS MAPInteractive 2D/3D damage map with severity markers.Open
- 06PRIORITYRisk scoring (0–100) queues the most urgent work.Open
- 07VERIFICATIONEngineers confirm, adjust or reject AI findings.Open
- 08REPORTProfessional web/PDF report with the GIS map.Open
Traditional workflow vs RapidGeo AI
Traditional
Manual inspection pipeline
- manually review hundreds of images
- copy findings into spreadsheets
- manually determine locations
- manually classify damage
- manually prepare reports
- information scattered across tools
RapidGeo AI
Automated geospatial intelligence
- centralized UAV mission
- automated image analysis
- automatic geolocation
- interactive damage map
- severity prioritization
- report generation
Geospatial workstation
2D GIS, photogrammetry and 3D digital twins in one workspace
GIS Damage Map
Severity-coded markers, risk layers, flight tracks, orthophoto and DSM overlays, and natural-language GIS queries through GeoCopilot.
3D Digital Twin
Orbit the photogrammetric terrain, inspect findings in 3D geographic context and verify them — 2D and 3D stay in sync instantly.
Scalable 3D Tiles architecture
Large reconstructions are referenced, not embedded: RapidGeo stores a tileset reference per mapping product (tileset.json) in object storage. The demo terrain you see today is a pre-generated surface with an orthophoto texture — when a tiling provider (Cesium ion or a private 3D Tiles service) is connected, the same viewer streams tiles with no data-model change.
Human-in-the-loop
AI proposes. Engineers decide.
Every AI detection enters a verification queue. A licensed engineer confirms, adjusts or rejects each finding before it reaches a report or a work order — AI output is decision support, never a certified engineering determination.
Open the verification queueRapidGeo AI · AI-assisted analysis supports engineering decisions; it does not replace certified engineering judgement.
RAPIDGEO ● SYSTEM READY