Ο RuView
See through walls with WiFi
Turn ordinary #WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate, #track movement, and monitor rooms β through walls, in the dark, with no cameras or wearables. Just physics.
Ο RuView is a WiFi sensing platform that turns radio signals into spatial intelligence.
Every WiFi router already fills your space with radio waves. When people move, breathe, or even sit still, they disturb those waves in measurable ways. RuView captures these disturbances using Channel State Information (CSI) from low-cost ESP32 sensors and turns them into actionable data: who's there, what they're doing, and whether they're okay.
What it senses:
Presence and occupancy β detect people through walls, count them, track entries and exits
Vital signs β breathing rate and heart rate, contactless, while sleeping or sitting
Activity recognition β walking, sitting, gestures, falls β from temporal CSI patterns
Environment mapping β RF fingerprinting identifies rooms, detects moved furniture, spots new objects
Sleep quality β overnight monitoring with sleep stage classification and apnea screening
https://github.com/ruvnet/RuView
See through walls with WiFi
Turn ordinary #WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate, #track movement, and monitor rooms β through walls, in the dark, with no cameras or wearables. Just physics.
Ο RuView is a WiFi sensing platform that turns radio signals into spatial intelligence.
Every WiFi router already fills your space with radio waves. When people move, breathe, or even sit still, they disturb those waves in measurable ways. RuView captures these disturbances using Channel State Information (CSI) from low-cost ESP32 sensors and turns them into actionable data: who's there, what they're doing, and whether they're okay.
What it senses:
Presence and occupancy β detect people through walls, count them, track entries and exits
Vital signs β breathing rate and heart rate, contactless, while sleeping or sitting
Activity recognition β walking, sitting, gestures, falls β from temporal CSI patterns
Environment mapping β RF fingerprinting identifies rooms, detects moved furniture, spots new objects
Sleep quality β overnight monitoring with sleep stage classification and apnea screening
https://github.com/ruvnet/RuView
GitHub
GitHub - ruvnet/RuView: Ο RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presenceβ¦
Ο RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection β all without a single pixel of video. - ruvnet/RuView