Automate UAV Flight Plans and Data Distribution

Pre-Flight Planning

Integrate various sources to build a route and virtual world for your UAV. Then generate a path preview and automatically validate the flight plan.

Build Your Route

Design a workflow to generate points automatically or convert a path from Google Earth to your waypoint app of choice (e.g. Litchi CSV).
Scope Out The Landscape

Integrate data from various sources, like CAD buildings and live GIS feeds, to build an accurate world representation.
Preview The Flight

Convert to Google Earth to preview your route, or build a web service to test your flight plans in a web browser.
Validate Your Flight Path

Check your plan visually and with automated tests to identify risks and errors. Generate a report and distribute the results.

Build an automated drone-to-disk workflow that performs data processing and generates intelligence from the data your UAV collects.

Post-Process The Data

Detect changes, classify pixels, render point clouds, add Z values, leverage cognitive services APIs, and more.
Index The Data

Create a catalog to index the data collected, for example as an Excel spreadsheet or webpage.
Convert and Georeference Images

Load photos into Google Earth and/or georeference them for spatial processing.
Integrate with Drone Platforms

Integrate with post-processing platforms like OpenDroneMap via FME transformers like the OpenDroneMapCaller.

Build a web app to share and collaborate on drone missions, or automatically send your data wherever it needs to be.

Leverage the Cloud

Send data to the cloud so anyone can access your results. Credit Southern Company.
Collaborate On Results

Build a web service so others can contribute their own data or download summaries on demand.
Generate Reports

Summarize your mission in a spreadsheet, webpage, PDF, business intelligence software, and more.

Chat with Safe Software data experts Steve and Dean about the UAV mission cycle and how to get started with drones.

Build a solution tailored to your needs. Here are a few examples of FME workflows that can be built for UAVs.

Monitor crop health, soil composition, terrain, and patterns. Predict growth and crop yields, and analyze changing factors over time.

Track large-scale events and crises, including search-and-rescue efforts and natural disasters.

Inspect pipelines, track assets, visualize patterns, analyze the environment, and predict trends.

Survey urban areas, or design and perform missions for military training, logistics, and battlefield intelligence.