How does Drone Harmony solve the Cell Tower Inspection Pilot’s Problems?
July 16, 2018
Drone Harmony’s Cell Tower Inspection is the first application designed solely for the task of capturing data at cell sites with a drone.
In a nutshell, Drone Harmony has made it as easy as possible for the pilot to obtain the quality data that is needed for this task. The flight plans in Drone Harmony are generated automatically and are tailored to a rough 3D model of the inspected tower. The model can be either imported, or easily constructed in the application using a simple wizard.
Obstacles can also be included in the model and the generated plans avoid these obstacles automatically. Every step of the simple setup procedure is visualized in 3D, so there is very little uncertainty, or room for error. Finally, the app flies the drone automatically.
Every step of the simple setup procedure is visualized in 3D
Cell Tower Scan is designed to replace the previously used processes consisting of either manually flying the drone, or manually planning a flight path by placing waypoints in a 2D interface. Both processes represent a much longer, less accurate process, often requiring re-runs due to missing data, and highly skilled pilots. Another issue with manual flight around cell towers is radio interference, which magnifies the errors and inaccuracies associated with the manual process.
Drone Harmony has developed Cell Tower Scan in close collaboration with Bentley’s Reality Modelling team to guarantee that the data captured by the app is ideal for Reality Modelling and 3D reconstruction. Together with Bentley Systems, Drone Harmony has also worked with a number of companies collaborating directly with pilots and clients to guarantee that the end to end solution delivers both the required quality of results, and that the app achieves the cost saving targets.
Learn more about Drone Harmony Cell Tower Inspection. The new Android app based on Drone Harmony’s mission planning framework, featuring a scene-centered workflow, a full 3D planning environment and obstacle avoidance.
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