Sensing with waves, not cameras
RuView was founded to pioneer privacy-first human presence and motion detection using raw WiFi signal signatures (CSI) and edge-based neural networks.
At RuView, we believe that motion detection and presence awareness shouldn't require compromising your absolute privacy. Standard surveillance and smart-home monitoring systems rely heavily on cameras, recording video feeds that are vulnerable to data breaches, unauthorized access, and invasive telemetry.
We designed RuView to leverage the electromagnetic environment that already surrounds us: **WiFi radio waves**. By analyzing subcarrier fluctuations (Channel State Information, or CSI) caused by human movements, our open-source software reconstructs physical presence, breathing patterns, and motion without capturing a single pixel of visual data.
Absolute Privacy
Zero cameras, zero audio recordings. RuView monitors spaces through walls using abstract radio frequency interference signatures that contain no visual identities.
Edge Computing
All neural network inferences execute locally on inexpensive microcontrollers (ESP32-S3) and lightweight edge servers. No private data is ever uploaded to a proprietary cloud.
100% Open Source
Every line of firmware, training script, and UI code is completely open-source, fully auditable, and driven by a global community of engineers, hackers, and researchers.
How RuView was Born
RuView started in 2024 as an experimental research project. Our developers were frustrated by existing commercial smart-home presence detectors which were either incredibly expensive, highly proprietary, or relied on invasive camera setups.
By tapping into raw 802.11 Wi-Fi frames and capturing Channel State Information (CSI) subcarriers, we realized we could run lightweight Deep Learning models on cheap microchips. We combined this research with a sleek web UI, leading to the creation of the **RuView AI Radar System**.
Advanced Wave Analytics
Using multi-subcarrier phase and amplitude modulation matching algorithms.
GDPR-Compliant by Architecture
Because visual biometric elements are never captured, it is structurally impossible to leaked facial data.
Help Us Shape the Future of Sensing
We are entirely independent and rely on community contributions, research feedback, and local ads to keep the servers running and documentation free.