According to a report by the website WWW1.RU on July 2, at a thematic meeting on infrastructure protection held in St. Petersburg, Russia’s Balagozha Systems presented a new augmented reality training system designed for counter-unmanned systems combat training related to critical infrastructure. The system enables mobile fire teams to conduct realistic drills on actual combat positions and greatly improves training flexibility. Adopting mixed reality overlay technology, it projects digital drone models onto real terrain and generates dynamic flight paths for targets taking landforms and meteorological conditions into consideration. The built-in computing module of the system calculates ballistics and lead angles in real time, simulates target speed, heading and external influencing parameters, and assists shooters in adjusting aiming points via interactive prompts. As training scenarios are set within troops’ actual duty areas, combat personnel can get familiar with specific firing sectors and local terrain features, effectively boosting their adaptability to real combat environments.
The developer stated that the system eliminates live ammunition consumption and reduces barrel wear of weapons, so training operation and maintenance costs can be effectively controlled. Meanwhile, digital threat models support rapid iterative updates to adapt to various new types of drone targets. It can continuously provide troops with low-cost and efficient counter-drone tactical training solutions that align with actual battlefield conditions.
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According to a report by the website WWW1.RU on July 2, at a thematic meeting on infrastructure protection held in St. Petersburg, Russia’s Balagozha Systems presented a new augmented reality training system designed for counter-unmanned systems combat training related to critical infrastructure. The system enables mobile fire teams to conduct realistic drills on actual combat positions and greatly improves training flexibility. Adopting mixed reality overlay technology, it projects digital drone models onto real terrain and generates dynamic flight paths for targets taking landforms and meteorological conditions into consideration. The built-in computing module of the system calculates ballistics and lead angles in real time, simulates target speed, heading and external influencing parameters, and assists shooters in adjusting aiming points via interactive prompts. As training scenarios are set within troops’ actual duty areas, combat personnel can get familiar with specific firing sectors and local terrain features, effectively boosting their adaptability to real combat environments.
The developer stated that the system eliminates live ammunition consumption and reduces barrel wear of weapons, so training operation and maintenance costs can be effectively controlled. Meanwhile, digital threat models support rapid iterative updates to adapt to various new types of drone targets. It can continuously provide troops with low-cost and efficient counter-drone tactical training solutions that align with actual battlefield conditions.
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