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.
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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).
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Scope Out The Landscape
Integrate data from various sources, like CAD buildings and live GIS feeds, to build an accurate world representation.
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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.
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Validate Your Flight Path
Check your plan visually and with automated tests to identify risks and errors. Generate a report and distribute the results.
Post-Flight Processing
Build an automated drone-to-disk workflow that performs data processing and generates intelligence from the data your UAV collects.
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Post-Process The Data
Detect changes, classify pixels, render point clouds, add Z values, leverage cognitive services APIs, and more.
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Index The Data
Create a catalog to index the data collected, for example as an Excel spreadsheet or webpage.
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Convert and Georeference Images
Load photos into Google Earth and/or georeference them for spatial processing.
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Integrate with Drone Platforms
Integrate with post-processing platforms like OpenDroneMap via FME transformers like the OpenDroneMapCaller.
Data Distribution
Build a web app to share and collaborate on drone missions, or automatically send data wherever it needs to be.
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Leverage the Cloud
Send data to the cloud so anyone can access your results. Credit Southern Company.
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Collaborate On Results
Build a web service so others can contribute their own data or download summaries on demand.
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Generate Reports
Summarize your mission in a spreadsheet, webpage, PDF, business intelligence software, and more.
Coders on Couches Drinking Coffee: Episode 5
Chat with Safe Software data experts Steve and Dean about the UAV mission cycle and how to get started with drones.
Build Your Custom UAV Workflow
Build a solution tailored to your needs. Here are a few examples of FME workflows that can be built for UAVs.
Agriculture, Farming, and Forestry
Monitor crop health, soil composition, terrain, and patterns. Predict growth and crop yields, and analyze changing factors over time.
Humanitarian
Track large-scale events and crises, including search-and-rescue efforts and natural disasters.
Resources and Infrastructure
Inspect pipelines, track assets, visualize patterns, analyze the environment, and predict trends.
Government
Survey urban areas, or design and perform missions for military training, logistics, and battlefield intelligence.