Forget cameras: New AI identifies people using only Wi-Fi signals

Futurism‘s report on Wi-Fi routers that can identify people solely based on their body movements and the distortion of radio waves seems like another glimpse into a dystopian future. But it actually describes something much larger: the gradual construction of an invisible surveillance infrastructure that no longer relies on cameras, smartphones, or facial recognition. New research from the Karlsruhe Institute of Technology shows that ordinary routers, using artificial intelligence, can identify people with up to 99.5 percent accuracy – even when they aren’t carrying a device and have never connected to the Wi-Fi network.

This shifts the boundaries of what was previously considered surveillance.

For decades, digital surveillance consisted primarily of cameras, tracking cookies, location data, and smartphones. People knew, at least theoretically, that they could be observed. Now, a technology is emerging that operates entirely in the background. The radio waves of an ordinary router become a kind of invisible radar that analyses body shapes, movement patterns, and personal signatures. The space itself becomes the sensor. (ScienceDaily)

What’s particularly alarming is that the technique requires no special hardware. The researchers used standard Wi-Fi routers, the kind found in millions of homes, offices, hotels, cafes, and public buildings. The data used for this analysis is transmitted unencrypted and can be intercepted by nearby devices. This means the infrastructure already exists; it doesn’t need to be built. (Tom’s Hardware)

The real danger, however, lies in the combination with other developments.

As governments worldwide push forward with digital identities, age verification, and biometric systems, a parallel technological environment is emerging that can increasingly track people even without their active consent. Recently, reports caused a stir that operating systems could soon automatically verify the age of their users and pass this information on to websites. Now it appears that even ordinary routers could begin to recognize people based on their physical presence. The trend is clear: More and more technologies are being designed to automatically track identity, behaviour, and movements.

Research also makes it clear that Wi-Fi sensing is no longer a niche project. The new IEEE 802.11bf standard is intended to officially establish “Wi-Fi sensing.” The underlying idea is to use wireless networks not only for communication, but also for monitoring and analysing their environment. Presence detection, motion analysis, activity detection, and room monitoring will thus become standard features of future networks.

Officially, such systems are justified by claims of comfort, security, and efficiency. They are intended to make smart homes more intelligent, monitor elderly people, automate buildings, or analyse crowds.

However, the same infrastructure can also be used for completely different purposes.

If a router can detect who is in a room, when someone comes home, how many people are in an apartment, or whether someone enters certain rooms, it creates a form of surveillance that goes far beyond traditional cameras. This is because radio waves don’t require a visible lens. They work through walls, in the dark, and without any obvious presence.

The researchers themselves therefore explicitly warn of the consequences. They speak of significant risks to privacy and fundamental rights and demand protective measures before Wi-Fi sensors are rolled out across the board. But the history of digital technologies shows a familiar pattern: as soon as a technological possibility exists, the pressure to use it grows sooner or later.

That is precisely why many critics see this development as far more than a technical research project.

They are witnessing the beginning of a world in which every apartment, every office, every hotel and every public building potentially becomes an invisible surveillance system.

yogaesoteric
June 22, 2026