Your WiFi can already tell if you're breathing
RuView turns the WiFi signal already filling your rooms into a way to sense the people in them. It works through walls, in the dark, with no camera and nothing to wear. The router notices you; it doesn't watch you.
A single sensor chip, about $9, listens to your WiFi and reports back what it hears: someone's home, someone's moving, someone's breathing.
An independent explainer for rUv (ruvnet)'s RuView — built to take you from "never seen it" to "ready to implement".
01
Cameras watch you. Wearables get forgotten.
What problem does this actually solve for me?
Most ways of checking on someone cost you something.
A camera sees a face, every time, and someone has to store that footage somewhere. It can leak, get subpoenaed, or just make people feel spied on in their own home.
A wearable only helps if it's actually being worn. Batteries die. Bands get left on the nightstand. The one moment someone falls might be the one moment their device is off.
So the real question is harder than 'add a sensor.' It's this: can you know someone is safe without recording them, and without asking them to remember anything at all?
02
RuView: a WiFi signal that quietly keeps watch
Okay, so what is this thing?
RuView reads the WiFi signal already in a room and turns it into information about the people inside.
It detects presence, counts people, and tracks when they come and go. It measures breathing and heart rate, and it can flag a fall. All of this works through walls and in complete darkness, because it was never watching light in the first place.
There's no lens pointed at anyone, no microphone, and nothing to strap on. The same signal that already carries your WiFi is doing the sensing.
03
The clever move: your body is already talking to the WiFi
What's the clever trick that makes it work?
Every WiFi router constantly sends out radio waves, and those waves bounce around the room before reaching your phone or laptop.
When you walk through that space, the waves bounce differently. Even when you just sit still and breathe, your chest rising and falling changes the bounce by a tiny, measurable amount.
RuView doesn't add anything new to the room. It just teaches a small, cheap chip to notice the wobble that was already there, and to translate that wobble into presence, movement, and a heartbeat.
Your WiFi has been recording how you move the whole time — RuView just finally reads it.
04
One level under the hood
How does it actually do that?
Here's the mechanism, one step more technical.
The wobble has a real name: Channel State Information, or CSI. It's basically a fingerprint of how the wave bounced around the room at that instant. A small chip called an ESP32, real hardware costing about $9, captures that fingerprint many times a second.
A model, trained on real recordings of people moving, breathing, and sitting still, turns each fingerprint into an estimate: a body position, a breathing rate, a heart rate. The project is upfront about maturity here. Some checkpoints are validated against real test data. Others are still experimental. The repo labels which is which, instead of blurring the line.
On top of core sensing sit small add-on programs called 'edge modules,' or 'cogs.' Each one runs directly on the sensor chip, with no internet connection required. Each does one specific job — noticing a cough, a glass break, or an overloaded elevator.
05
What people actually build with it
Who uses this, and for what?
Three different people reach for RuView for three different reasons.
1 Checking on someone at home Home & eldercare
A family can watch for falls, unusual stillness, or a change in breathing pattern, without putting a camera in someone's bedroom or asking them to wear anything.
Health-focused modules already exist for things like irregular heartbeat, coughing, and sleep monitoring — running right on the sensor itself.
2 Watching a building instead of a room Security & buildings
The same signal that senses one person can count foot traffic, flag a glass break, or notice an elevator is over capacity, through walls, with no extra hardware in each room.
A catalog of dozens of small modules covers security, retail, and building cases, each a tiny add-on you drop on top of the core sensing.
3 Contributing to the project itself For developers
RuView's own codebase is indexed so an AI coding assistant can search it, get sourced answers, and check its own claims before making changes.
Agent runs are read-only unless you explicitly allow writes, so you can let a tool explore the code without worrying it will change anything by accident.
06
Try it in five minutes, no hardware required
How do I try it myself?
The fastest path uses simulated data, so you can see what it does before buying anything.
docker pull ruvnet/wifi-densepose:latest && docker run -p 3000:3000 ruvnet/wifi-densepose:latest- Install Docker This is the only prerequisite for the simulated path — no ESP32 chip needed yet.
- Pull the image Run docker pull ruvnet/wifi-densepose:latest to download the ready-made RuView server.
- Run it Run docker run -p 3000:3000 ruvnet/wifi-densepose:latest. This starts a sensing server using simulated data.
- Open the dashboard Visit http://localhost:3000 in your browser and watch simulated presence, breathing, and movement data update live.
- Check your setup and get guidance Run npx @ruvnet/ruview@0.4.0 doctor to check the local setup, then npx @ruvnet/ruview@0.4.0 guidance --topic sensing --query "model loading" for source-cited help.
- When you're ready for the real thing Get an ESP32-S3 board, about $9, flash it, and provision it onto your WiFi using the firmware scripts in the repo — then point RuView at real radio data instead of simulated data.
07
The knowledge pack
Does my AI get it too?
RuView's own documentation and code have been read, chunked, and indexed so both people and AI tools can search it, and check claims against real sources instead of guessing.