The Problem
Tracking human poses in real-time without using cameras is a massive pain point, especially in privacy-sensitive environments. Traditional methods rely on visual data, risking privacy invasion and security concerns. What if you could get full-body tracking through walls using just WiFi signals? That's where this repo comes in.
What This Does
The wifi-densepose repo implements a WiFi-based dense human pose estimation system, drawing on Channel State Information (CSI) data. It’s built on a solid foundation, with a production-ready API that handles authentication and rate limiting, all in dev-backend-api.md. You can find the configuration settings in config.yaml, which allows you to tweak how the application runs without diving into the code.
For those who care about performance, the Rust implementation lives in /rust-port/wifi-densepose-rs/. If you run cargo bench from there, you’ll see how much faster it is than the Python version. We're talking about speedups of up to 810x for the full pipeline. Yeah, it’s that good.
Real-World Use
Imagine deploying this in a smart home. You set up the mesh router, configure it with config.yaml, and start tracking family members' movements. You can write a small script to connect to the WebSocket stream and process pose data in real-time. Here’s a quick snippet to get you started:
import websocket
def onmessage(ws, message): print("Pose Data: ", message)
ws = websocket.WebSocketApp("ws://localhost:8000/ws/pose", onmessage=onmessage) ws.runforever()
With this setup, you can monitor activity or detect falls without cameras. It’s not just tech for tech’s sake; it has real applications in healthcare and security.
The Bottom Line
This repo is excellent for anyone needing privacy-preserving pose estimation—think healthcare providers or smart home developers. The Rust implementation is a big win for performance, but honestly, if you’re a solo developer or a small team, this might feel like overkill. If you don't need the complexity of real-time tracking through walls, stick with simpler solutions.