@IndieDevHailey: Terrifying! You can tell what people are doing behind the next wall just using home Wi-Fi! The open-source project RuView has skyrocketed to over 50k stars on GitHub, totally blowing up! No cameras needed, no wearable devices required—just ordinary home Wi-Fi signals allow you to see through walls: - How many people are next door, their exact locations, whether they’re walking or lying down—all visible - Real-time human pose estimation (17 keypoints) - Automatically measures breathing and heart rate while sleeping - Instant alerts for falls, with highly accurate action recognition

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open-source wifi-sensing privacy-preserving computer-vision iot human-pose-estimation

Summary

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.

Terrifying! You can tell what people are doing behind the next wall just using home Wi-Fi! The open-source project RuView has skyrocketed to over 50k stars on GitHub, totally blowing up! No cameras needed, no wearable devices required—just ordinary home Wi-Fi signals allow you to see through walls: - How many people are next door, their exact locations, whether they’re walking or lying down—all visible - Real-time human pose estimation (17 keypoints) - Automatically measures breathing and heart rate while sleeping - Instant alerts for falls, with highly accurate action recognition Using Wi-Fi CSI + AI, it turns your home router directly into an invisible radar! No video, no recordings, maximum privacy and security, natively GDPR-compliant, runs entirely locally without going to the cloud. You can try it with a few-dollar ESP32, or test it with zero hardware using Docker.
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@Smartpigai: It's not just the camera that's shocking; this time it's 'WiFi itself seeing you.' An open-source project called RuView has gained over 70k stars on GitHub, and its idea is somewhat outrageous: The ordinary WiFi signal in your home is not just an internet tool; it can also become an 'invisible sensing radar.' It can do these things...

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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.

ruvnet/RuView

GitHub Trending (daily)

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.

@IndieDevHailey: Absolutely mind-blowing! A terrifying tool that packs global real-time intelligence, 3D Earth, and satellite tracking into one open-source platform — Redroom. Redroom is literally the most powerful geopolitical OSINT workstation in the open-source world! It's a full-stack geopolitical intelligence aggregation and analysis platform, truly built around a practical workflow: from auto-collection, AI-powered processing…

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Redroom is an open-source full-stack geopolitical OSINT workstation that integrates real-time intelligence collection, AI processing, 3D visualization, satellite tracking, and narrative analysis. It has a solid tech stack and is suitable for intelligence analysis enthusiasts.