The Invisible Threat

Radar and RF-based systems have long been the standard tools for protecting airport airspace.
But small consumer drones — especially those made of plastic and flying at low altitude — are notoriously hard to detect. They produce weak radar reflections and, in many cases, emit no radio signal at all.
That makes them practically invisible to traditional systems.

This creates a dangerous blind spot just above the airport perimeter — an area where conventional surveillance struggles, and where visual intelligence now takes over.

Seeing What Really Flies

Visual drone detection powered by AI changes the equation.
Instead of relying on indirect signals, ASO Airspace Surveillance systems see and classify what’s actually in the sky.

Each Edge-AI camera processes visual data locally, without cloud latency, recognizing drones in real time and distinguishing them from birds, aircraft, or irrelevant objects.
And because it’s image-based, every detection produces something radar never could: forensic proof — a visual record that can be used for investigation or legal follow-up.

For airport security teams, that means fewer false alarms, faster verification, and a clear operational picture.
In the high-stakes environment of air traffic control, seconds count — and reliable information is everything.

Beyond Alerts: Real Operational Value

Visual detection doesn’t replace existing radar or RF tools — it completes them.
By filling the low-altitude gap, it creates a layered protection concept that allows airports to respond early and accurately to drone intrusions.
The result is fewer interruptions, faster decision-making, and measurable financial protection.

In most cases, preventing a single major incident is enough to offset the entire investment — turning security from a cost into a return.