# @kazani: WiFi DensePose tracks full-body pose through walls with mesh routers

Source: https://farcaster.xyz/kazani/0x1e8ea55d
Kiwi News: https://news.kiwistand.com/stories/kazani-WiFi-DensePose-tracks-full-body-pose-through-walls-with-mesh-routers?index=0x6a0ec36e469a41dd28050fa46dbcadadf5d89de19bfeb68a368075b26155673de5f2fd48
Submitted by @kazani on 2026-05-21 UTC, 2 upvotes, 0 comments

## Summary

This GitHub project, WiFi DensePose, is a claimed implementation of InvisPose, a WiFi-based dense human pose estimation system that its README says tracks full-body pose through walls using commodity mesh routers without cameras. The README lists sub-50ms latency with 30 FPS pose estimation and simultaneous tracking of up to 10 individuals. It also describes fall detection, activity recognition, occupancy monitoring, a production-grade API with authentication and rate limiting, WebSocket streaming, and a claim of 100% test coverage.

## Article

WiFi DensePose

Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

Key Features

Privacy-First: No cameras required - uses WiFi signals for pose detection
Real-Time Processing: Sub-50ms latency with 30 FPS pose estimation
Multi-Person Tracking: Simultaneous tracking of up to 10 individuals

Domain-Specific Optimization: Healthcare, fitness, smart home, and security applications

Enterprise-Ready: Production-grade API with authentication, rate limiting, and monitoring

Hardware Agnostic: Works with standard WiFi routers and access points

Comprehensive Analytics: Fall detection, activity recognition, and occupancy monitoring

WebSocket Streaming: Real-time pose data streaming for live applications
100% Test Coverage: Thoroughly tested with comprehensive test suite

https://github.com/davidakpele/wifi-densepose