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#wifi#radiotelescope#gnuradio

Building a Camera That Can See Wifi | Part 3 SUCCESS!

The Thought Emporium

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Intermediate. Assumes working knowledge.

2.9M views8 years ago1 recommendation

HardwareNetworking and protocolsEmbedded systemsElectronics

How to build a DIY radio telescope tuned to 2.44 GHz to visualize and map WiFi signals inside a building.

What would it be like if our eyes could see more colors? We may never be able to answer that, but we can build devices that can do the work for us. Over the last three weeks we've been building a DIY radio telescope tuned to 2.44 Ghz which is right in the middle of the wifi band. With it we hoped to take a picture of a building and see all the wifi routers inside it. This is the third part of the series and I'm pleased to announce the project was a complete success! If you haven't seen the first and second videos, I'd highly recommend watching those first. Part 1: youtube.com/watch?v=o6WHhqDHSQ4 Part 2: youtube.com/watch?v=VABeN4uv03s This week we mapped the inside of the hackerspace (Foulab) I've been working in and then stepped up to taking an image of the whole building. Not only were we able to see our router, we could see at least half a dozen others, and even one across a courtyard at least 100m away. The images were very large since they were full 360 degree panoramas, so too get a better view of them head over to my facebook page at the following link to see them at full size! Image 1 Inside the building: bit.ly/2LXmA92 Image 2 Full building: bit.ly/2JZMvfI Want to try and build one of these yourself? Here's a link to all the code needed to run a robot like this and turn all the captured data into an image: github.com/FOULAB/Project-COGSWORTH __________________________________________________________________ A special HUGE thank you to Foulab and especially Paul for making this project possible. Foulab: foulab.org __________________________________________________________________ Some more resources Power meter GNU radio: tablix.org/~avian/blog/archives/2015/04/signal_power_in_gnu_… DC offset fix (Didn't actually end up using this, but it's still useful): rtl-sdr.com/removing-that-center-frequency-dc-spike-in-gnura… GNUradio: gnuradio.org ____________________________________________________________________ Support the show and future projects: Patreon: patreon.com/thethoughtemporium Nebula: go.nebula.tv/thethoughtemporium Ko-Fi: ko-fi.com/thoughtemporium Become a member: youtube.com/channel/UCV5vCi3jPJdURZwAOO_FNfQ/join Store: thethoughtemporium.ca/ ______________________________________________________ Our Social Media Pages: Tiktok: tiktok.com/@thethoughtemporium Instagram: instagram.com/thethoughtemporium/ Facebook: facebook.com/thethoughtemporium/ Twitter: twitter.com/emporiumthought Website: thethoughtemporium.com/ _____________________________________________________

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What people say. Recommended as an example of mapping and visualizing RF signals to see through walls.

u/trkepresterin r/compsci • Recommends

On “Watch Out, MIT’s New AI Model Knows What You’re Doing Behind That Wall”

just talking out my theoretical ass here (just a computer engineer) but i guess bodies interact with RF signals in a way that is analogous to how clear substances interact with light. They bend it, refract it, scatter it, absorb it, but ultimately still let a bunch of it pass through. here's an example of taking a 'picture' of RF waves using a single antennae being redirected for each 'pixel' of the image it takes [video so in this case, i suppose they are taking that RF data and feeding it through a neural network model trained on body poses in RF spectrum and are therefore able to 'see' through walls. damn that is amazing
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