Our online SLAM pipeline is optimized to provide real-time information of the robot's state, position, and trajectory. This fuels ExynAI, enabling our autonomous robots to understand & navigate dynamic environments.
Once on the ground, our proprietary offline SLAM pipeline uses ExynAI's compute power to generate precise 3D maps 2.5x faster while being optimized for global map quality and loop closure.
ExynAI can further refine these data sets through geo-referencing, loop closure and intelligence optimization, multi-map stitching, and colorization (coming soon).
Exyn's robots fly safely and autonomously beyond the operator's line of sight, capturing a complete scan of any environment and displaying it in real-time enabling on-demand decision making to assess the quality of data captured.
By calibrating known target inputs, ExynView automatically aligns in-flight map data to a global map with < 5cm georeferenced accuracy.
Easily and accurately align multiple maps into a single, larger set of data for comprehensive analysis.
Users can export clouds to ensure compatibility, choose point distance to optimize data syncing, and export data to industry-standard formats like .ply, .las, or .xyz.
Our customers range from federal innovation units and underground survey teams. And they have one thing in common: appreciation for safe, efficient — and frankly cool — data-capture technology.
“Autonomous drones are a real game-changer for risk management and data collection...removing surveyors from working near open stopes.”
“Exyn came to our site to show us the autonomous capabilities of their drone technology, and were very impressed with the timeliness and quality of the data acquired.”
“Safety is Dundee’s number one priority, and with Exyn robots we can safely reach areas that were not safe to reach before”
Ready to discover how drone data, point clouds, and georeferenced 3D modeling come together? Try our interactive point cloud gallery to see for yourself!
Go to the Gallery