RuView Open-Source Project Turns ESP32 Hardware Into a Privacy-First WiFi Radar Using 8KB AI Models

See Through Walls with WiFi: Meet RuView

Terminal Chai unveiled RuView, an open-source system that turns WiFi signals into a privacy-first radar. RuView runs on $9 ESP32 microcontrollers and fits its AI model in just 8 kilobytes of memory.

Why This Matters

Traditional smart home monitoring relies on cameras and wearables that compromise privacy and fail in private spaces like bathrooms or through walls. RuView solves this by repurposing existing WiFi signals into a radar using dirt-cheap ESP32 microcontrollers (the entire hardware costs $9 each) and a local AI model that fits in 8 kilobytes of memory—proving that ambient intelligence can be both affordable and completely private, with no cloud accounts or monthly subscriptions needed.

Key Insights

• The RuView AI model, optimized to run in 8 KB of memory, enables real-time 17-joint skeletal tracking from WiFi CSI data.
• Through-wall detection using radio physics: RuView can sense presence and motion through drywall up to 15 feet away.
• Hardware cost as a design constraint: The system uses standard $9 ESP32-S3 microcontrollers instead of expensive custom hardware.
• Local AI processing on a Raspberry Pi ensures privacy: no cloud accounts or monthly subscriptions are needed.

Practical Applications

• Contactless vitals monitoring: RuView can measure breathing rate (6-30 breaths/min) and heart rate (40-120 bpm) across a room. Pitfall: Relying on traditional wearables for sleep apnea screening can cause discomfort and data gaps.
• Fall detection for elderly care: The system detects falls in private spaces like bathrooms where cameras are banned. Pitfall: Using cameras in bathrooms violates privacy laws and creates security risks.
• Baby monitoring without wearables: RuView tracks breathing and movement without requiring infants to wear smartwatches or chest straps. Pitfall: Traditional baby monitors with video feeds expose families to hacking and surveillance.
• Occupancy counting through walls: RuView counts occupants in rooms using radio wave scattering. Pitfall: Optical sensors fail in darkness or through walls, limiting smart home automation.

References:

• https://dev.to/terminalchai/ruview-the-open-source-project-turning-wifi-into-a-privacy-first-radar-li3