Artiom Nikonov, director of the Institute of Artificial Intelligence at the university, said the system with a neural network makes it possible to increase the safety of drone use and minimize possible incidents, as well as to ease the creation of air traffic rules for unmanned aerial vehicles.

The number of unmanned aerial vehicles will grow every year in various sectors of the economy, so artificial intelligence will be used to monitor the flight and safety of numerous drones, Nikonov said.

The ecosystem being developed assumes that drones will automatically follow established rules and flight standards. The neural network will help these vehicles to correct their route, for example, due to worsening weather or to avoid collisions.

If a drone leaves the limits of the assigned airspace, the ‘electronic flight controller’ will order it to return and if the device does not react it will be forced to land in a safe place.

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