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QuadRF is a phased-array radio built on a Raspberry Pi 5 that can detect drones and visualize WiFi signals through walls, with open-source software for advanced signal processing.
Introduces an open-source project called RuView that uses CSI data from ordinary WiFi signals and AI models to achieve camera-free indoor human perception, including people counting, pose estimation, breathing and heart rate monitoring, and fall detection. It has gained over 70k stars on GitHub.
A review of techniques for sensing human presence, movement, and vital signs using WiFi signals.
The open-source project RuView leverages Wi-Fi signals and AI technology to achieve camera-free through-wall sensing, capable of real-time human pose recognition, breathing monitoring, and fall detection. It has garnered significant attention on GitHub. Emphasizing privacy and security, the project processes all data locally, supporting easy deployment via ESP32 or Docker.
RuView is an open-source WiFi sensing platform that uses Channel State Information (CSI) from low-cost ESP32 sensors to detect people, track movement, measure vital signs, and estimate pose through walls without cameras or wearables. The system runs entirely on edge hardware with cryptographic attestation and uses spiking neural networks for local adaptation.