Frequently asked questions

RuView is an open-source project exploring AI-powered WiFi sensing for camera-free human detection, motion tracking, and vital-sign estimation.

Yes. The code is available on GitHub at github.com/ruvnet/RuView.

Yes — it's an experimental but real open-source platform demonstrating WiFi CSI sensing techniques.

WiFi signals reflect off bodies and objects. Tracking how the signal changes over time reveals motion, posture, and even breathing patterns.

Channel State Information is fine-grained per-subcarrier amplitude and phase data extracted from WiFi packets.

No. RuView is camera-free by design. It relies purely on WiFi radio reflections.

An ESP32 or ESP32-S3 board and a WiFi access point. See our hardware guide for full options.

Yes. With CSI-capable firmware, ESP32 can detect motion, presence, and even subtle vital signs.

Yes — periodic micro-motion from breathing modulates CSI in a learnable, sub-Hz pattern.

Heartbeat detection is harder but possible with careful signal processing and machine learning.

Through drywall and most interior partitions, yes. Reinforced concrete or metal heavily attenuates the signal.

In most jurisdictions, using your own WiFi to sense your own environment is legal. Always verify local privacy law before deploying.

Yes — RuView uses the same low-power 2.4/5 GHz signals as standard WiFi. No additional emissions are introduced.

It can complement them for privacy-friendly presence sensing, but it isn't a 1:1 replacement for visual evidence.

Yes. Start with our beginner roadmap and a single ESP32 board.

At github.com/ruvnet/RuView — always check there for the latest documentation.