Detect and Avoid

Enables BVLOS operations by enhancing traffic awareness for the pilot in command

Detects airborne objects in real time, including non-cooperative traffic such as drones, birds, and paragliders. Fuses camera data with ADS-B and FLARM. Estimates size, direction, and time to collision. Alerts the pilot in command, enabling real-time avoidance. Integrates into existing avionics (autopilots and flight management systems).

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User Interface

Examples of remote pilot tablet application layouts featuring integrated map and live video feed.
Interface Control Document is available for FMS integration.

Product Architecture

The capability is based on Daedalean's visual traffic detection technology. It utilizes an AI component (neural network) to spot an intruder, calculate its trajectory and guide the pilot for collision avoidance maneuvers, or ensure automatic system action, if needed.

AI component within the airborne application

Cameras
Onboard Computer
Neural network-powered object recognition in real time
Traffic Advisory
Alerts the pilot in command
Control
Optional

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