Passive counter-UAS detection & tracking

Operational prototype

Detect earlier. Decide with context.

Lamassu is building a passive, camera-first sensing system for detecting and tracking small drones at the edge - without relying on the target to transmit.

Guardian of the low-altitude threshold Passive // Edge // Aware
01 // Passive-firstNo active RF emission
02 // Edge-nativeDetection near the sensor
03 // Detection-onlyNo mitigation or effectors

Demonstrated today

Detection that leaves the lab.

The current prototype combines real-time computer vision, edge inference, visual tracking, and physical pan-and-tilt control on field-relevant hardware.

Capability 01Demonstrated

Edge drone detection

A trained vision model runs on NVIDIA Jetson hardware for low-latency, camera-side inference.

See the detection pipeline
Capability 02Demonstrated

Closed-loop tracking

Detections drive a calibrated optical pan-and-tilt prototype that keeps the selected object centered.

See tracking technology
Capability 03Demonstrated

Node corroboration

A multi-node subscriber confirms observations across sensors, deduplicates alerts, and monitors node health.

View capability status

Platform direction

From pixels to a coherent track.

Our architecture starts with what a sensor actually observed, preserves where it came from, and is designed to combine useful signals as integrations mature.

01 // Sense

Observe

Passive cameras produce timestamped observations of objects in the low-altitude airspace.

02 // Edge

Detect & track

Edge compute classifies candidates, maintains visual tracks, and limits unnecessary data movement.

03 // Correlate

Build confidence

Observations are corroborated across nodes today, with deeper multi-sensor fusion in development.

04 // Share

Deliver the picture

Structured track output for operator tools and command-and-control systems is on the roadmap.

See the platform architecture and capability status

Evidence over theater

Built on real hardware, in tight loops.

We validate the hard parts directly: inference timing, target persistence, motor response, node health, and corroboration behavior. The result is an operational prototype—not a slide-deck simulation.

Conceptual interface shown. Current prototype output is an engineering visualization, not a deployed operator product.

EO_NODE_01 TRACKING // PASSIVE

Relevant environments

Low-altitude awareness where it matters.

Lamassu is designed for evaluation in environments where small drones can create operational uncertainty and passive detection is valuable.

Defense installations

Persistent perimeter awareness

Evaluate passive optical sensing around fixed sites without adding active emissions.

Critical infrastructure

Visibility over sensitive assets

Add a detection layer around energy, utility, data, and logistics infrastructure.

Public events

Temporary airspace monitoring

Explore deployable sensing for venues and events with defined operating boundaries.

Start with the environment

What does your airspace problem look like?

Share the site geometry, sensing constraints, and integration needs. We will tell you plainly where the current prototype fits and where it does not.

Contact Lamassu