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Magister Pro

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Magister Pro

Simulate Reality

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Magister Pro is an advanced UAV flight simulator designed to replicate real-world operations with unmatched accuracy. Featuring a multi-screen setup, powerful computing, and a sophisticated physics engine, it allows operators to experience true-to-life flight dynamics, mission scenarios, and ground control station functionality. With support for multiple flight modes, dynamic weather conditions, and real-time system feedback, Magister Pro equips operators with the skills and confidence to seamlessly transition from simulation to actual missions.

1

Integrated Ground Control Station

A fully featured Ground Control Station (GCS) software is essential for operating Unmanned Aerial Vehicles (UAVs), often running in conjunction with simulation software for training and testing. It is characterized by a user-friendly interface and is widely used in the UAV industry. This software is designed to project critical data such as the artificial horizon, battery level, altitude, airspeed, and a map of the operating region, while also allowing for complete Mission Planning and Execution.

2

Versatile Flight Training

These features highlight a system's ability to support operations across a wide range of flight modes and allow operators to train for takeoff and landing procedures in diverse weather conditions.

3

Real World Experience

This highly sophisticated physics engine is designed to simulate real-world physics in real time, incorporating dynamic weather settings like wind speeds, thermals, cloud cover, and runway wetness. It further enhances realism by including real-world terrain and obstacle modeling.

4

Integrated Autopilot

Magister Pro comes equipped with a fully featured UAV autopilot, supporting both fixed-wing VTOL and multirotor platforms. It accommodates all major flight modes, delivering a comprehensive training environment. Operators can also configure and test real-world failsafe mechanisms directly within the simulator, ensuring mission readiness and operational confidence before deployment.

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