RuViewAI WiFi Sensing & Human Detection System
Explore camera-free human sensing powered by WiFi CSI, ESP32 hardware, signal processing, and edge AI intelligence.
Master Camera-Free WiFi Radar & AI Presence Detection
Stop using intrusive cameras for smart home presence. Learn how to turn affordable $5 ESP32 boards into powerful passive sensors that detect motion, track rooms, and monitor breathing.
An open-source AI WiFi sensing platform
RuView is an open-source project that explores how WiFi signals — specifically Channel State Information (CSI) — can be turned into a passive, camera-free radar capable of detecting humans, tracking motion, and inferring vital signs.
Reuses existing 2.4/5 GHz WiFi as a sensing medium — no extra radios.
Runs on affordable ESP32 / ESP32-S3 nodes with edge inference.
No cameras, no microphones — only signal reflections.
A new generation of camera-free awareness
Cameras are intrusive, microphones are invasive, and traditional radar is expensive. WiFi sensing turns the invisible radio signals already around you into ambient intelligence.
No images, no audio captured.
Operates regardless of light conditions.
ESP32 boards from $5–$15.
Mesh sensing across rooms.
Channel State Information, explained
Every WiFi packet carries fine-grained per-subcarrier signal data. When a person moves between transmitter and receiver, CSI amplitude and phase shift in ways AI models can decode.
ESP32 captures CSI packets at high frequency from a WiFi router or peer.
Signal preprocessing removes noise and extracts subcarrier features.
Edge AI model classifies presence, motion, gestures, or vital signs.
From raw signals to real-world insight
Detect occupants without cameras.
Track movement patterns across rooms.
Estimate respiration rate from micro-Doppler.
Inference-grade vital sign estimation.
Coarse body posture from CSI patterns.
Detect motion behind drywall and partitions.
Runs on the boards developers already love
RuView is designed around ESP32 and ESP32-S3 — affordable, available, and capable of CSI extraction with the right firmware.
Classic dual-core MCU. Great starter board for CSI experiments.
More RAM and AI acceleration — ideal for edge inference.
Pair multiple ESP32 nodes for room-scale sensing.
Ready to build with WiFi CSI?
Start with the open-source RuView repository and an ESP32 board. Follow our beginner roadmap to a working radar prototype.
Where WiFi sensing changes the game
Common questions about RuView
Yes — explore the code and follow the official GitHub repository for the latest.
No. RuView relies purely on WiFi CSI and AI inference — privacy-friendly by design.
Yes, to a limited extent. Drywall and partitions are mostly transparent to 2.4 GHz signals.
An ESP32 or ESP32-S3 board and a WiFi access point. See our hardware guide.
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