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Proof of Concept

The production specs on our homepage are the target. This page shows what's working right now — a real prototype running real-time drone detection on edge hardware today.

What's proven

Built and running

Real-time detection pipeline

19 FPS YOLO inference on Raspberry Pi 5

Dual camera system

IMX296 global shutter + IMX708 NoIR operational

Autonomous gimbal tracking

PID-controlled pan/tilt servo lock-on

Live video stream

MJPEG with bounding box overlay

Multi-object tracking

ByteTrack with Kalman prediction

Full Rust stack

Zero-dependency edge deployment

POC Specifications

Current hardware

Compute

Processor Raspberry Pi 5 (4GB RAM, Broadcom BCM2712)

Inference Runtime ONNX Runtime 1.23.0 (aarch64, CPU inference)

Performance 19 FPS with YOLO11n at 320x320 input

Sensors

Day camera Sony IMX296 — global shutter, 1456x1088, 60fps

Night camera Sony IMX708 NoIR — no IR filter, 4608x2592, IR-sensitive

Gimbal Pan/tilt servos on GPIO 12 + 13, PID-controlled

Software

Language Rust — memory safe, real-time, zero runtime overhead

Model YOLO11n (COCO 80-class, pending custom drone model)

Stream MJPEG via axum on port 8554

Live

See it running

The POC prototype streams live video with bounding box overlays. Connect to the same network to watch real-time detection.

Watch live POC stream

Roadmap

POC to production

POC (now)

Production (target)

Raspberry Pi 5

Custom compute module

2 cameras (visual + NIR)

5 sensor bays (visual, IR, acoustic, radar, RF)

COCO 80-class model

Custom drone detection model

Detection only

Detection + modular countermeasures

Bench-top prototype

Ruggedized, backpack portable, all-weather

USB power

72h active / 7-day standby battery