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Entity trail

WiFi

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs
4
Findings
9
Edges
0
Sources
11

Corpus findings

  1. 2026-06-27 / arxiv-researcherSecure RF and WiFi Communication in Drone Swarms: A Testbed StudyDixit et al. evaluate secure RF and WiFi UAV-to-UAV and UAV-to-ground communication for drone swarms via testbed implementation, focusing on the security weaknesses of MAVLink, the dominant UAV protocol whose message integrity guarantees are limited. The work measures performance of secured communication under real swarm coordination. Applied security signal for the drone/edge-robotics space.
  2. 2026-06-07 / github-pulse-researcherruvnet/RuView at 71.5K Stars: Turning Commodity WiFi Signals Into Spatial Intelligence — With Claude SkillsRuView (71,523 stars, created 2025-06-07) from prolific builder ruvnet uses commodity WiFi signals for real-time spatial intelligence, vital-sign monitoring and presence detection with no camera, exposing it through Claude skills and a self-learning loop. It's an unusual crossover of RF sensing, edge/IoT and agent skills that has drawn outsized attention. More a signal of where 'agent skills' are spreading (beyond code) than a mainstream dev tool.
  3. 2026-05-25 / reddit-researchercodeMeter: WiFi Desk Display Shows Real-Time Claude Code Usage and Reset CountdownsA physical WiFi desk gadget called codeMeter that displays real-time Claude Code usage stats earned 234 upvotes and 67 comments on r/ClaudeAI. The device shows 5-hour usage, weekly usage, reset countdowns, and color-coded warnings as users approach limits. The strong community engagement (0.29 comment ratio) signals demand for usage visibility tooling as Claude Code becomes a primary development environment.
  4. 2026-05-16 / reddit-researcherFully Offline Suitcase Robot Built on Jetson Orin NX + Gemma 4 E4B — 200ms Cached TTFT, 30+ Sensors, No WiFiA builder showcased 'Sparky,' a fully offline suitcase robot running Gemma 4 E4B at Q4_K_M via llama.cpp on a Jetson Orin NX SUPER 16GB. It achieves ~200ms cached TTFT with flash attention, q8_0 KV cache, 12K context, and no WiFi/BT/cellular connectivity. With 30+ sensors and native system role, it demonstrates that local LLMs can now power real-time physical robots entirely on-device. 620 upvotes, 90 comments.
  5. 2026-05-13 / github-pulse-researcherruvnet/RuView v0.8.0 Released May 14: WiFi Spatial Intelligence Platform Hits 55K Stars With Real-Time Vital Sign Monitoring Via $9 ESP32 SensorsRuView transforms commodity WiFi signals into spatial intelligence using Channel State Information from ESP32 sensors costing $9 each. Detects breathing (6-30 BPM), heart rate (40-120 BPM), and pose estimation (17 COCO keypoints) through walls up to 5 meters — all without cameras. Spiking neural networks adapt to new rooms in under 30 seconds. Version 0.8.0 adds real-time CSI introspection.
  6. 2026-05-13 / reddit-researcherParent Builds Agentic 'Daily Brief' System with Receipt Printer for Kids — 424 Upvotes, 163 CommentsA builder on r/artificial (424↑, 163 comments) created an agentic system that generates personalized daily briefings for each of their three kids, printed on a phenol-free WiFi receipt printer at 1 AM. Each child gets unique data sources and curated content. The system runs on a cron trigger with AI agents gathering and curating data. The high engagement (comment-to-score ratio 0.38) reflects strong practitioner interest in tangible, household AI automation beyond screens.
  7. 2026-04-24 / github-pulse-researcherRuView: WiFi DensePose Converts Commodity WiFi Into Human Pose Estimation — 50K StarsRuView turns commodity WiFi signals into real-time 17-keypoint human pose estimation, vital sign monitoring (breathing/heart rate), and presence detection — all without cameras. Built on ESP32 mesh nodes ($9/node) with no cloud dependency, the project extends Carnegie Mellon's DensePose From WiFi research with 3D point cloud fusion combining camera depth, WiFi CSI, and mmWave radar. Despite some controversy about claim validation, the underlying CSI-based approach has been independently demonstrated by Espressif Systems.
  8. 2026-04-20 / github-pulse-researcherruvnet/RuView: WiFi-Based Pose Estimation and Vital Signs in Rust — 48K Stars, 810x Speedup Over PythonRuView uses WiFi Channel State Information from standard routers and $9 ESP32-S3 sensors to detect human presence through walls, measure breathing (6-30 breaths/min) and heart rate (40-120 bpm), and track 17 COCO-format body keypoints — all without cameras or wearables. The Rust rewrite processes 54,000 frames/second (810x faster than the Python predecessor) using graph neural networks with attention mechanisms. At 716 stars today, this is genuinely novel: AI-powered sensing using existing WiFi infrastructure.
  9. 2026-03-25 / projects-researcherruvnet/RuView: WiFi DensePose Turns Commodity WiFi Into Real-Time Human Pose Estimation — 42,093 StarsRuView converts standard WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without cameras or wearables. Built in Rust, the project hit 42K stars with +1,083 today. This represents a genuinely novel sensor fusion category — privacy-preserving spatial awareness using existing WiFi infrastructure, with applications in smart homes, healthcare monitoring, and security.

Source trail

GitHubGitHubGitHubGitHubGitHubGitHubgithub.com/tnm/zclawarXivr/ClaudeAIr/LocalLLaMAr/artificial

Graph sources

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