Counter-UAS

The Future of
Spatial Awareness

A decentralized sensor mesh for early detection and real-time tracking of airborne objects.

01The system

A tracking mesh, woven from ordinary cameras.

LocalEyes is a decentralized 3-D tracking mesh for the low-altitude sky. Our localization algorithm fuses overlapping observations from many low-cost commodity cameras, each one a simple local observer, into a single real-time picture of where airborne objects are, where they are heading, and how they are moving. No single sensor sees everything. Together, they see it all.

It began with a tree. From one viewpoint, two branches appeared to intersect but there was no way to know whether they truly did without a second local eye. That became LocalEyes: many simple observers, cooperating to reconstruct the true structure and motion of a scene.

Local eyes, localizing local skies.

02How it works

Deterministic by design.

Each node detects motion in its own view. The mesh fuses those observations across nodes and resolves them into 3-D position, direction, and trajectory in real time. Because the core is purely geometric, it runs on inexpensive commodity hardware. No specialized radar, no centralized sensing stack.

Sensor-agnostic

Works with ordinary RGB cameras and extends to other sensing modalities chosen based on application.

Geometric core

Localization is deterministic geometry, verifiable, repeatable.

Real-time

A C++ / CUDA and Rust core engineered for low latency, scaling smoothly to large sensor meshes.

Decentralized

Every node contributes local information to a shared estimate. Coverage grows by adding nodes, not by replacing infrastructure.

03Validation

Measured against Vicon motion capture and a Leica MS60 total station.

Loading the visualization
Geometry baseline

Single drone

~5.3 cm path-following error over 39 m, indoors against Vicon (4 cameras).

Three at once

Multi-drone

Three drones at once, kept separate ~6.1 cm across flights of ~76-110 m, indoors against Vicon (4 cameras).

Early field result

Outdoor

First open-field run: ~9.1 cm over 6.4 m against a Leica MS60 (2 cameras). A short-range proof longer-range validation is in progress.

04Deployment

Three ways to cover a site.

01

Upgrade packages

LocalEyes-compatible camera modules for GPS-networked sensor systems already deployed across large outdoor sites turning existing monitoring infrastructure into airspace awareness.

02

Standalone nodes

Rugged, self-calibrating sensor units with onboard compute, networking, and GPS. Placed around a site in hours to create ad-hoc aerial coverage.

03

Software licensing

Pure software for existing CCTV and security-camera networks. Where overlapping coverage already exists, LocalEyes produces 3-D tracks from the cameras you already own.

Applications
Industrial sitesPorts & terminalsPower plantsAirportsBorders & perimetersLarge events
See the use cases
05Team

Built in Toronto.

Souren

Robotics PhD candidate at the University of Toronto working on multimodal perception and embodied systems. Previously built LiDAR-calibration tooling in C++/Qt and Python/OpenCV and shipped hardware-software products end to end. Leads research, architecture, and integration.

06Contact

Tell us about your airspace.