Researchers from the Karlsruher Institute of Technology (KIT) in Germany have unveiled a groundbreaking method that enables ordinary WiFi routers to identify individuals with near-perfect accuracy. This system leverages standard WiFi signals and artificial intelligence to track people, even if they are not actively using a device. Professor Thorsten Strufe explained that by analyzing how radio waves bounce around a room, researchers can create a detailed 'image' of the environment and the individuals within it. The technology poses significant privacy risks, as it could allow for covert surveillance in public spaces like cafes and airports without individuals' knowledge. In trials involving 197 participants, the system demonstrated nearly 100% accuracy in identifying individuals, regardless of their movements or the angle of observation. The researchers are calling for enhanced privacy protections to be integrated into the upcoming IEEE 802.11bf WiFi standard to mitigate potential abuses of this technology. Their findings will be presented at the ACM Conference on Computer and Communications Security in November 2025.