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The RADAR UHR in Action
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Proprietary ML-powered signal analysis technology. Swiss-engineered precision. Encrypted firmware that cannot be copied or extracted.
All components sourced from certified suppliers. Full traceability documentation available upon request.
Purpose-built for defense, security, and emergency response professionals requiring portable signal intelligence.
WiFi signals pass through walls. When they hit a person, they bounce back differently. Our AI reads these changes.
Custom machine learning algorithms analyze wireless signals in real-time, identifying patterns invisible to conventional hardware.
Proprietary firmware compiled to encrypted bytecode. Cannot be extracted, copied, or reverse-engineered. Each unit uniquely signed.
Detect, visualize, and analyze wireless activity in your environment. See what's happening around you.
Designed and assembled in Zurich, Switzerland. Precision components meet rigorous quality standards.
256-bit AES encryption. Firmware locked to specific hardware. Tamper detection built-in.
1.3" high-contrast OLED screen. Real-time signal visualization and intuitive interface.
Click to play - RADAR UHR demonstration
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Signal Analysis Mode
Available for government, defense, and authorized security organizations. Volume pricing available.
MIL-STD Tested • ISO Certified • Swiss Engineered
Government purchase orders accepted. NATO CAGE code available.
For government, defense, and authorized institutional procurement.
Sales & Procurement:
procurement@radaruhr.ch
Technical Inquiries:
technical@radaruhr.ch
You may perceive faint clicking or ticking sounds. This is our Frequency-Modulated Continuous Wave (FMCW) acoustic sonar system transmitting near-ultrasonic chirp pulses through your device speakers.
Each pulse sweeps from 17,000 Hz to 22,000 Hz over a 25-millisecond window. Your device microphone captures the reflected wavefront, which is then decomposed via a 4096-point Fast Fourier Transform at 48 kHz sample rate (11.72 Hz bin resolution) to extract the room’s acoustic impulse response.
When a human body enters the acoustic field, it perturbs the baseline echo signature — the reflected energy distribution shifts across frequency bins proportional to the target’s radar cross-section and range. We compute the delta between the current spectral frame and the stored room baseline to derive a presence confidence score and distance estimate (round-trip propagation at 343 m/s yields ~37.9 ms for 6.5 m).
This technique is grounded in the same FMCW principle used in radar systems since 1940 and biologically observed in Chiroptera (bats), which echolocate using 20–200 kHz ultrasonic pulses. Our implementation adapts this for commodity hardware using the Web Audio API.