Technology

The DroneAstra ™ platform is leveraging a proprietary deep neural model for micro-doppler signature classification and analysis, alongside a unique parallel algorithm for low latency range-doppler mapping. With an integrated approach, the platform offers actionable data, decisioning tools and counter-measures for Situational Awareness and Risk Mitigation in Low-Altitude Airspace (LAA) in context of drones, UAVs, birds and other aerial objects.

DroneAstra ™ Advantages

• Deep neural AI model enhances detection range by 30% when compared to conventional systems

• Auto-classification of aerial targets allows effective management of Low Altitude Airspace (LAA)

• Accurate detection using clutter reduction techniques, alongside SVM based clutter cancellation to improve target detection by 60%

• Motion artifact cancellation algorithm improves classification of radar signatures

• High throughput waveform streaming through an FPGA reduces time-to-compute by 35%

• Software Defined Radio (SDR) architecture for scalability, modularity and reconfigurability

• Operating ease with user friendly software and user interface, alongside effective compatibility with most commercial drones/UAVs