RuView uses WiFi signals for camera-free sensing
The MIT-licensed RuView project uses WiFi Channel State Information captured by ESP32 sensors to detect presence, track movement, estimate vital signs and infer activity without cameras or wearables. Its README also describes a model workflow for recording CSI data, training models and loading RVF files, along with smart-home integrations and an AI-assisted operation harness. These capabilities are project claims: the software remains in beta, pose evaluation is pending, and the unified RF model's accuracy is synthetic until real-data validation.
RuView combines open-source WiFi sensing, AI model workflows and smart-home integrations in one platform, but its practical performance remains dependent on real-world validation.
This source is a digest of several news items (“ruvnet/RuView”). Find this story in the original.