RuView Uses WiFi Signals to Monitor Health and Movement Without Cameras

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RuView is an open-source project that converts ordinary WiFi signals into a privacy-focused home monitoring system by analyzing Channel State Information (CSI) — raw data describing how radio waves travel and scatter. The system uses low-cost ESP32 microcontrollers, priced between $6 and $10, to capture signals, while a compact 8-kilobyte AI model running locally on a device like a Raspberry Pi processes the data in real time. RuView can detect breathing rates, heart rates, human poses across 17 joints, falls, and movement through walls up to 15 feet away — all without cameras, microphones, or wearables. Because all data is processed on-device and never sent to the cloud, the system is designed to be private by default, making it suitable for sensitive spaces. The project is publicly available on GitHub, and users can get started by flashing firmware onto compatible hardware or running a simulated demo via Docker.

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