Catch more, sooner
Continuous frame analysis reduces reliance on one operator manually scanning a moving feed.
1 Pass, Multiple TargetsARC turns any commercial UAV feed into real-time intelligence, highlighting mission-relevant targets so the operator can verify, track, and act while it still matters.
ARC reduces the gap between detection and decision. It converts the live UAV feed into operator-verified events without replacing the operator or changing the aircraft.
Continuous frame analysis reduces reliance on one operator manually scanning a moving feed.
1 Pass, Multiple TargetsTarget candidates are presented while the UAV can still observe, reposition, or continue tracking.
< 50 ms Detection TimeARC runs on commercial UAV video feeds, from entry-level drones to professional, with no aircraft-side hardware changes.
360p to 8K InputConfirmed events can retain the frame, timestamp, class, confidence, model version, and available location metadata.
JSON Event ExportARC adapts to the mission. Select the AI model architecture best suited for detecting people, vehicles, vessels, perimeter activity, or custom classes, so the system focuses the UAV feed on the objects that matter.
AI output remains inside a human-in-the-loop workflow. The operator can review, confirm, dismiss, reverse, or interrupt system output before any operational action is taken.
ARC’s oversight design supports the human oversight principles described in EU AI Act Article 14, where applicable to the deployment context.
Bring a sample stream, target classes, and mission workflow. We will show what ARC detects, how the operator reviews it, and what evidence record is exported.
mgian@ics.forth.gr