RuView is an open-source WiFi sensing platform that turns ordinary WiFi signals into real-time spatial intelligence, without a single camera or wearable. With more than 100,000 stars on GitHub and an MIT licence, it is one of the most watched open-source sensing projects of the year, running on low-cost edge hardware.
Every WiFi router fills a room with radio waves, and people disturb those waves when they move, breathe, or sit still. RuView captures these disturbances as Channel State Information from low-cost ESP32 sensors and interprets them with pretrained machine-learning models. The result is a privacy-preserving system that works through walls and in the dark, with no cloud connection and all processing kept local. A small pretrained model published on Hugging Face handles the core sensing. The project describes itself as beta software, with some accuracy figures still awaiting real-data validation, so treat it as a powerful research and prototyping platform rather than a finished consumer product.
RuView is free and open source under the MIT licence. There are no cloud fees and no internet connection is required. The only cost is optional hardware: an ESP32 sensor node can cost as little as nine dollars, so a home or laboratory setup stays inexpensive.
RuView is for smart-home builders who want presence sensing without cameras, researchers working on radio sensing, and developers building elder-care, health-monitoring, security, or building-automation systems. It also suits makers and students experimenting with WiFi sensing on cheap hardware.