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Three Main Obstacles Hindering Wide-Spread Adoption of Drone Flights

From monitoring remote infrastructures, such as oil pipelines, power transmission towers and hydroelectric dams, to maintaining a birds-eye view of solar panels, large companies are turning to drones for getting the job done.

Thanks to advanced sensors and imaging capabilities, drones can, for example, help firefighters obtain information about an accident’s location, provide insights about crops to farmers that allow them to reduce crop damage, or facilitate the inspection of remote tracks and bridges by train companies.

This declaration prioritises supporting the Member States in implementing technical rules to enable drone flights over longer distances, using the European U-space Demonstrators Network to carry out safe, secure and green drone operations and to develop a U-space system.

Challenges include: While streaming of lower quality imagery is supported, for many applications, this lower density data is insufficient for remote analytics processing.   The ideal solution would be to limit onboard processing for navigation and collision avoidance and develop the capacity to stream higher quality imagery for off- craft analytics.

This way, CPU cycles are dedicated to very specific real-time processing needs, while more in-depth analytics can be performed on big data-based, large scale, parallel processing systems.  Fortunately, this data can be effectively encrypted.  Furthermore, while others could use a trained model, it gives no direct insights into the training weights and sample images that went into developing the model, thereby protecting both intellectual property and the data stored aboard.  Alternatively, another option would be to make sure that sensitive information is migrated to a physical data centre or a cloud-based secure server to enhance security should the craft be lost.