[GitHub Trending] ruvnet/RuView
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WiFi-based spatial intelligence, innovative but less directly applicable to dev tooling.
RuView is an open-source WiFi sensing platform using ESP32 CSI and spiking neural networks to detect people, vital signs, and 17 COCO keypoints through walls without cameras. It runs on edge hardware with Cognitum Seed for cryptographic attestation via Ed25519, adapting in under 30 seconds, and costs $9 per node with no cloud dependency. The system achieves 100% presence accuracy and supports camera-free training from Carnegie Mellon's DensePose From WiFi research.
Evaluate WiFi CSI-based sensing for contactless monitoring in edge AI projects, leveraging ESP32 and spiking neural networks for real-time, privacy-preserving spatial intelligence.
For a senior engineer focused on edge AI and open-source infrastructure, RuView shows how low-cost ESP32 sensors and spiking neural networks can deliver privacy-preserving spatial intelligence without cloud reliance, a pattern applicable to agentic sensing and IoT orchestration.