The world’s first training platform simulator, created by Southern Federal University (SFU) students, replicates operating drone detection systems and anti-drone guns. One can exercise in real-world drone combat scenarios in this simulated environment. One can practice using several models of anti-drone guns (such “Pars” and “Harpy”), detectors (like “Bulat” version 3), and drones (from FPV devices to DJI and military “Leleki-100”) in the software. The makers employed the potent Unreal Engine game engine to produce such detail.
Making the training as realistic as possible is the primary objective; radio signals, GPS operation, and gadget interaction are all simulated so that practicing here is equivalent to at a dedicated training facility. The training aids in the development of practical skills, such as the ability to operate detectors, use an anti-drone weapon correctly, and make snap choices under pressure. Additionally, there is a theoretical segment that includes examinations and instructional materials.
According to development team representatives, the examinations consist of both book-based questions and movies that offer actual situations in which you must make the correct decision. According to military expert Yuri Lyamin, the simulator is helpful during the early stages of training since it enables you to learn the fundamental action algorithms, equipment features, and cost-effectiveness.
