Sense Aeronautics’ AI-powered Automatic Target Recognition (ATR) solution automatically detects and classifies targets of interest in EO video streams, delivering results that are faster, more cost-effective and more consistent than human operators. The system is highly scalable and can handle any number of video streams, making it ideal for drone fleet and swarm applications.
By integrating seamlessly into the mission workflow and accurately identifying relevant information, the system reduces storage and bandwidth requirements. Data concerning threats and events of interest can be output to external systems such as video management software, ground control stations and infrastructure monitoring systems.
The ATR software can detect a variety of different target types, including people, vehicles, and other drones, and is ideal for facilities and infrastructure monitoring, border control, search and rescue, and more. The cloud version is now ready for testing, click here to ask for your free API Key.
Specifications:
| Input Sources |
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 |
| Training Data | 150k images with over 2 million annotations |
| Latency | <200 ms (cloud deployment) |
| Detection Probability | >90% |
| Detectable Target Size | <10% |
| Detection Range (Person) |
DJI Zenmuse H20 - 3000m DJI Zenmuse Z30 - 4500m Flir BlackFly (6mm lens) - 250m |
| Detection Range (Vehicle) |
DJI Zenmuse H20 - 5000m DJI Zenmuse Z30 - 8000m Flir BlackFly (6mm lens) - 400m |
