[GitHub Trending] ruvnet/RuView
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Innovative use of WiFi signals, but niche hardware.
RuView is an open-source WiFi sensing platform that turns ESP32 sensors into spatial intelligence using Channel State Information, detecting people and vital signs through walls without cameras or cloud. It leverages spiking neural networks for sub-30-second environment adaptation, cryptographic attestation via Ed25519 witness chain, and camera-free pose training from CMU's DensePose From WiFi research. The system runs on a $9 ESP32 mesh paired with a Cognitum Seed for persistent memory, with multi-frequency scanning across 6 channels using neighbor routers as illuminators.
Evaluate RuView's ESP32-based edge sensing for low-cost, privacy-preserving spatial intelligence in your agent orchestration pipelines.
For a senior engineer building AI/ML agent orchestration and edge infrastructure, RuView demonstrates a practical open-source implementation of real-time edge sensing with cryptographic attestation, enabling privacy-preserving spatial intelligence that could integrate into multi-agent systems for smart environments.