Search Results for "rf"

...Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The system runs on low-cost hardware such as ESP32 sensor meshes and performs signal processing and machine learning directly at the edge. By learning the RF signature of each environment over time, RuView adapts automatically to different spaces and improves its sensing accuracy. Designed for applications ranging from healthcare monitoring to disaster response, it enables spaces to gain spatial awareness using the radio signals already present in the environment.

...The integration avoids the need to flash devices with custom firmware, which makes it practical for users who want Home Assistant control without modifying hardware. It supports single-channel and multi-channel devices, TH and POW sensors, RF Bridge commands, local multicast updates, and cloud WebSocket updates. It can load device names and encryption keys from eWeLink servers and store them locally for future use. SonoffLAN is best suited for smart home users who want deeper Sonoff automation while keeping the official device firmware.

...The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. ...