“We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input.”
Henceforth, the building code shall make mandatory that every room be perfectly grounded Faraday cages (/s).
Still, imagine lethal drones integrated with that technology (of course, they already have infrared, maybe even some adequate wavelength of X-rays).
Nevertheless, pretty cool to see how far we can take preexisting technology with the help of some deep learning layers.
Here’s what they’re putting in the goggles that Infantrymen wear now.
I don’t care to guess what the drones are packing.
What we know about drones is that they have cameras that can discern individuals from 10 km altitude.
What we suspect is that US has Hubble-sized spy satellites that can do almost the same. There were a lot of classified military STS missions.
What is theoretically possible is that US drones and spy sats can function as very large arrays (we do this with astronomical telescopes already) to dramatically increase spatial resolution.
Oh I wonder if that’s how the Pic was taken that trump tweeted out of that rocket launch site, people didn’t think it was physically possible for a satellite to have that resolution
It all comes down to the size of the mirror/lense—the bigger, the better. Up to a point. The biggest problem is air currents and different air densities refracting light and distorting the image. That’s what these laser beams are for on photos taken of astronomical observatories—they give reference light spot that can be used to calibrate adaptive optics to current atmospheric conditions reducing distortion.
Based on the cell phone reception in my house, I already suspect it’s a Faraday cage.
near future building insulation will include enhanced EM spectrum insulation, to prevent or distort leakage into the environment