The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they’re not affected by light conditions, can penetrate walls and other obstacles, and they’re more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
The resulting image must just basically look like a shadow, I can’t imagine that they’re going to get much internal detail with Wi-Fi considering that my router’s signal practically gets blocked by a piece of cardboard.
This research essentially amounts to, humans can be individually identified with nothing more than low quality x-rays. Well yeah, so what, you can also use visible light and in any situation where you’re going to use Wi-Fi to detect someone, it’s got to be easier to buy a cheap CCTV camera.
They explicitly went into the advantages over cameras:
So perhaps a building takes a picture of everyone as they come in the front door and also establishes a ‘WhoFi’ profile for that person. They could keep track of their movement through the building while maintaining an actionable correlation to a photo.
First of all: cardboard does NOT block electromagnetic waves. You need a Faraday Cage for that. And even then, it has to have holes of a certain size to block specific wavelengths/frequencies. It’s why you have a mesh on the door of your microwave for example.
Secondly: they’re not attempting to photograph you. Just identifying your unique signature once would allow them to track your location anywhere where they have the gear installed.
Given your in-depth knowledge of Wi-Fi to consider it blocked by cardboard, I somehow doubt the rest of this comment is credible…
When they send a drone to your house they can make sure exactly where you are so they can shoot you through the wall.