🚨 Someone just turned your WiFi router into a full-body surveillance system.
No cameras. No wearables. No video. Just radio waves.
It's called RuView. It uses the WiFi signals already in your room to detect human poses, track breathing, measure heart rate, and see through walls.
Not a concept. Not a research paper. Working code you can run right now.
Here's what this thing actually does:
→ Tracks full 17-point body pose using only WiFi signals
→ Detects breathing rate (6-30 BPM) without touching anyone
→ Measures heart rate (40-120 BPM) from across the room
→ Sees through walls, furniture, and debris up to 5 meters deep
→ Tracks multiple people simultaneously with zero identity swaps
→ Self-learns from raw WiFi data. No labeled datasets needed
Here's how it works:
WiFi signals pass through your room and hit the human body. The body scatters those signals differently based on position, breathing, even heartbeat. RuView reads that scattering pattern and reconstructs everything.
A mesh of 4 ESP32 nodes ($48 total) gives you 360-degree coverage with 12 measurement links, 20 Hz updates, and sub-30mm precision.
Here's the wildest part:
It has a disaster response mode called WiFi-Mat. It detects survivors trapped under rubble through concrete walls, classifies injury severity using START triage protocol, and estimates 3D position. The kind of tool that saves lives after earthquakes.
The Rust implementation processes 54,000 frames per second. That's 810x faster than the Python version. The entire Docker image is 132 MB.
The AI model fits in 55 KB of memory. Runs on an $8 ESP32 chip.
Train once, deploy in any room. No retraining. No recalibration.
1,100+ tests. SHA-256 verified capability audit.
22.4K GitHub stars. 2.7K forks. MIT License.
100% Open Source.
🚨 Someone just turned your WiFi router into a full-body surveillance system.
No cameras. No wearables. No video. Just radio waves.
It's called RuView. It uses the WiFi signals already in your room to detect human poses, track breathing, measure heart rate, and see through walls.
Not a concept. Not a research paper. Working code you can run right now.
Here's what this thing actually does:
→ Tracks full 17-point body pose using only WiFi signals
→ Detects breathing rate (6-30 BPM) without touching anyone
→ Measures heart rate (40-120 BPM) from across the room
→ Sees through walls, furniture, and debris up to 5 meters deep
→ Tracks multiple people simultaneously with zero identity swaps
→ Self-learns from raw WiFi data. No labeled datasets needed
Here's how it works:
WiFi signals pass through your room and hit the human body. The body scatters those signals differently based on position, breathing, even heartbeat. RuView reads that scattering pattern and reconstructs everything.
A mesh of 4 ESP32 nodes ($48 total) gives you 360-degree coverage with 12 measurement links, 20 Hz updates, and sub-30mm precision.
Here's the wildest part:
It has a disaster response mode called WiFi-Mat. It detects survivors trapped under rubble through concrete walls, classifies injury severity using START triage protocol, and estimates 3D position. The kind of tool that saves lives after earthquakes.
The Rust implementation processes 54,000 frames per second. That's 810x faster than the Python version. The entire Docker image is 132 MB.
The AI model fits in 55 KB of memory. Runs on an $8 ESP32 chip.
Train once, deploy in any room. No retraining. No recalibration.
1,100+ tests. SHA-256 verified capability audit.
22.4K GitHub stars. 2.7K forks. MIT License.
100% Open Source.
@moniepointng For me to be here it has gotten out of hand, I made a transfer of N45,500 to a vendor last week Thursday, the transfer was successful, I was debited but the vendor did not receive the money. I have layed this issue to the official Moniepoint support email and till date. It's been
Another day trying something new with AI.
A Chess Game: I do not know how to play chess, so I created a program that would teach me with V0 AI by Vercel.
You can try it out here: https://t.co/Wg6vKBCDuK
Taking Note Taking to a whole new level with AI.
I just tried out Obsidian and connected it with Groq API.
A big shout out to ALX AI Starter Kit
https://t.co/g2W7cPjeMP
OpenAI Just released o1 the most advanced reasoning Model till date!
This Model will Think Smarter, Not Faster and Solving the unsolvable in science, coding, and math.
Here are 10 insane examples you don't want to miss: