12/05/2026
Did you know?
Your WiFi signals can already detect if someone is in a room… even through walls without cameras, wearables, or night vision.
That’s what RuView claims to do.
What RuView does (most important features):
✅ Detects "human presence/occupancy" through walls
✅ Monitors "breathing rate" (6–30 BPM)
✅ Detects "heart rate" (40–120 BPM)
✅ Tracks movement like walking, sitting, gestures, and even falls
✅ Can map rooms by analyzing WiFi signal disturbances
✅ Works in total darkness
✅ No cameras = more privacy-focused than CCTV
How?
It uses "Channel State Information (CSI)" from WiFi signals. When a person moves, breathes, or even stands still, their body slightly disturbs WiFi waves. RuView analyzes those disturbances using "ESP32-S3 boards" and machine learning.
Cheap hardware requirement:
• ESP32-S3 nodes (P300-P500 each)
• Existing WiFi router
• Optional: Cognitum Seed for advanced AI storage/features
• Runs locally (no cloud needed)
Claimed capabilities:
• Detect people up to "5 meters through walls"
• Multi-node mesh improves accuracy
• Can estimate body pose using "17 body keypoints"
• Real-time processing on edge devices
Possible uses:
• Elderly fall detection
• Sleep monitoring
• Hospital patient monitoring
• Smart homes
• Security systems
• Retail occupancy tracking
• Warehouse safety
But here’s the reality check:
Some developers on Reddit are questioning whether RuView is fully legit right now. Critics say parts of the repo may be overhyped or incomplete, and real-world replication is still unclear. The underlying "WiFi sensing technology is real", backed by academic research like WiFi Sensing projects such as WiFiEye and WiGest but RuView itself may still be experimental.
Imagine turning your ordinary WiFi router into a “radar system” for smart homes, healthcare, and security.
Future tech… or privacy nightmare?
Source:
https://github.com/ruvnet/RuView
