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.
I know people, funded, building WiFi scanners, but for the industry. They are cheap and can scan big stuff but they are quite imprecise, I wonder if you have like to stand in a specific pose on a specific spot for it to work?