The Sense Aeronautics detect-and-avoid (DAA) solution uses onboard EO and IR cameras to automatically detect both collaborative and non-collaborative aircraft in the vicinity of the drone, providing real-time alerts that can be used to enhance the safety of critical and complex drone operations such as BVLOS (beyond visual line of sight) flights.
The system provides a range of logging options, including basic telemetry and health, alarms and tracking information, and visual data, and logs can be stored locally or transmitted in real time to the ground control station. In addition, the software can also process footage from a ground-based camera to monitor the airspace and transmit detections via radio.
The system is designed for deployment on board the UAV, on the ground control station, or on public or private Cloud-based environments.
Edge deployment specifications:
| Input Sources |
USB and GbE cameras IP Cameras Video files (MPEG-4, H-264, etc) Video streams (RTP, RTSP, RTMP) Video platforms (Milicast, Dolby.io, DJI) |
| Output Formats | Dolby, RTMP, RTSP, WebRTC, HLS |
| Training data | Over 200.000 images |
| Latency | 200ms |
| Detection Probability | >90% |
| Detection Range |
500 m – Matrice 600 drone >3km – Cessna Skylane aircraft |
| Deployment | Edge (onboarded), Local (GCS), private cloud or public cloud |
