Rapid identification and classification of s-UAS
What makes our counter-UAS capability unique
Atolla Tech is bringing a SWAP optimized lidar-based C-UAS solution that identifies UAS in a fraction of a second using the propeller electronic signature created by the sensor and analyzed by the ML algorithm. Atolla applies a waveform analysis in the time and frequency domain thereby requiring only a few data points to identify. This keeps processing times low while identifying with a higher fidelity.
This new solution solves the resolution and cost constraints of radar while extending the range and resolution of EO/IR during day or night while using smaller optics. It further meets the real-time requirements for identification since unlike commonly used mapping lidars that require building a 3D point cloud and applying image processing for identification.
Use Cases in Defense
How It Works
- Airborne object is detected
- Object is identified as drone in a fraction of a second
- A rapid classification of intent is applied
- Size and general type of drone determined
- Speed and direction of flight calculated
Threat assessment and time to impact is estimated