UAV operators training solution using Augmented Reality (AR)

Problem and implemented solution
The project addresses the challenge of effectively training UAV operators while minimizing the risks of equipment loss and enhancing real-world preparedness. We propose establishing training centers utilizing a revolutionary technology: augmented reality. This system constructs digital three-dimensional objects with real coordinates in real-time and overlays them onto the video stream transmitted to the drone operator. This enables operators to interact with digital objects as they would with real ones, allowing them to fly through virtual training courses, monitor infrastructure using digital twins, and complete precision missions with digital targets. Augmented reality effectively merges the safety and flexibility of a simulator with the real-life challenges faced by drone operators. It significantly reduces the risks associated with equipment loss during training, allows for customized training scenarios tied to actual landscapes, and facilitates remote monitoring of training outcomes based on objective digital data.
Longlist
Russia
Nomination
Sky, Space And Communication Technologies
Topic
Augmented and virtual reality
Estimated duration of implementation
1 year
Implementation geography
Russia, BRICS
Description of competitive advantages
We propose establishing training centers utilizing a revolutionary technology: augmented reality. This system constructs digital three-dimensional objects with real coordinates in real-time and overlays them onto the video stream transmitted to the drone operator. This enables operators to interact with digital objects as they would with real ones, allowing them to fly through virtual training courses, monitor infrastructure using digital twins, and complete precision missions with digital targets. Augmented reality effectively merges the safety and flexibility of a simulator with the real-life challenges faced by drone operators. It significantly reduces the risks associated with equipment loss during training, allows for customized training scenarios tied to actual landscapes, and facilitates remote monitoring of training outcomes based on objective digital data. As a result, this innovative approach prepares UAV operators quickly and efficiently, equipping them with the necessary skills to tackle real-world missions while minimizing the inherent risks of traditional training methods.
List of awards and prizes, media articles about the organization/individual or the Practice
InHub 2022 (Novosibirsk,2022) - Silver medal
List of scientific works and IP connected with the Practice
N.A.

Contacts

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