We have become used to cameras. They are in subways, airports, shops, streets and outside buildings. We know that our mobile phones can reveal where we are, that card payments leave digital traces, and that our cars, computers and apps collect information about us. Yet most of us still think roughly the same way: when I close the door to my home, I am private. The camera on the street can no longer see me. Nobody can see what I am doing in my living room. Nobody knows whether I am sitting on the sofa, walking into the kitchen or having guests over. But what if that is beginning to change – not because of more cameras, but because of Wi-Fi?
Your Router Does More Than Give You Internet
Wi-Fi works through radio waves. Your router sends signals through the room to your phone, computer and television. These signals bounce off walls, furniture and people. When you move, the signals change slightly. When one person walks through a room, they change in one way; when two people move, they change differently; and when nobody is there, the signal pattern looks different again. For years, this information was mainly used to improve Wi-Fi connections. The system could determine that a signal had weakened or that something was interfering with communication. Then researchers began asking another question: if we can detect that the Wi-Fi signal has changed, can we also understand what caused the change? The answer turned out to be yes. This is the basis of what is now commonly called Wi-Fi sensing. Wi-Fi is no longer only a way of transmitting information. It can also become a sensor.
It Is Already Inside Real Homes
This is no longer just laboratory research. The American internet provider Xfinity already has a feature called WiFi Motion. With compatible equipment, the Wi-Fi network can detect movement inside a home. No camera is needed. No microphone is needed. The system can, for example, notice that somebody has arrived home or that someone is moving around the house. Today's commercial systems are still relatively simple. They do not normally know who the person is, and they do not create a detailed video-like image of the people inside the home. But something else is important: a physical event inside your private home has become digital information. For example: 10:13 PM – motion detected. 10:47 PM – motion ended. That information can be stored, analysed, combined with other information and, under certain circumstances, requested by authorities. This is where the question suddenly becomes much bigger.
Research Is Going Much Further
Researchers have already achieved much more than simple motion detection. At Carnegie Mellon University, researchers demonstrated how Wi-Fi signals combined with artificial intelligence could be used to estimate human body poses. An AI system can therefore attempt to understand roughly how a person is standing, sitting or moving their arms and legs simply by analysing changes in radio signals. This does not mean that the router in your home today works like a camera that can see through walls. Research systems use specialised setups, multiple antennas, large amounts of data and advanced AI. But research shows what is technically possible, and something that requires a laboratory today can sometimes appear in ordinary consumer electronics a few years later. We have seen this before. Facial recognition was once advanced research. Today it is inside a smartphone.
Can Wi-Fi Recognise People?
In 2025, researchers presented work that took the idea another step. They investigated whether different people could be recognised by the way their bodies affect Wi-Fi signals. Every person moves slightly differently. We have different height, weight, posture, walking style and body movements. As we walk through a room, we disturb radio waves in slightly different ways. An AI system can be trained to recognise those patterns. This does not mean that a Wi-Fi signal contains your name. The router does not simply see: Chris is here. But if a system has previously learned how a particular person affects the signal, it may be able to recognise a similar pattern when that person appears again. Think of it as something resembling a digital fingerprint, except created through movement and radio waves. It is still research, but the direction is fascinating. We move from someone is here towards perhaps this particular person is here.
At the Same Time, Facial Recognition Already Exists
Now we need to add another technology that is already being used in many places. Cameras can recognise faces. An ordinary surveillance camera no longer has to simply record footage for a human being to review later. Computers can analyse those images and attempt to answer the question: Who is this person? This is where things become interesting, because no individual technology needs to know everything. The camera may know WHO. The mobile phone knows WHERE. Wi-Fi sensing knows IF SOMEONE IS THERE. An access-control system knows WHO ENTERED THE BUILDING. A payment card knows WHAT WAS PURCHASED. A connected car knows WHERE IT WENT. And AI can attempt to answer the final question: How does all of this fit together? This is where surveillance of the future could become extraordinarily powerful.
No Sensor Has to Be Perfect
Imagine leaving your apartment at 8:17 in the morning. The Wi-Fi system registers that the apartment appears to be empty. A camera at the entrance sees you leave. A facial-recognition system may recognise you. Your phone begins moving through the city. You enter the subway. A ticketing system records the journey. Cameras see you at the station. You walk into a café. Your card records a purchase. Your phone connects to another network. Then you enter an office. An access card records your arrival. A meeting room has been booked by three people. Wi-Fi sensing detects three people inside the room. None of these systems needs to be perfect. But if somebody combines the information, the picture can become remarkably detailed. This is known as sensor fusion. Many small pieces of information become one large picture.
The New Thing Is Not Just the Sensors
Surveillance is nothing new. Police forces and intelligence agencies have always been able to follow people. But historically, surveillance has been expensive. Following one person could require several people. Somebody sat in a car. Somebody took photographs. Somebody listened. Somebody wrote reports. Somebody analysed everything afterwards. That made it impossible to follow everybody all the time. AI changes this equation. An AI does not need to sit in front of a thousand screens watching people. It can search for patterns instead. Which people met Person A last week? Which phones appeared at the same location three times? Which people suddenly started visiting the same building? Which homes contained unusually large gatherings? Which individuals were first at the same demonstration and later appeared at the same meeting? No human being needs to watch everybody. The computer can analyse everyone and show human operators only what it considers interesting.
When You Go Home
This is where Wi-Fi sensing becomes particularly interesting. Cameras can follow you through a city, but traditionally you often disappeared once you walked through your front door. The home created a gap in surveillance. Now imagine something different. The camera sees you enter the building. Your phone is detected at home. The Wi-Fi network registers movement. Later, another phone arrives at the same location and the Wi-Fi system registers two people. Activity is detected during the evening. In the morning, one of the phones leaves the area and an outside camera sees somebody leave the building. No single sensor needs to know exactly what happened. Together, however, the systems can begin constructing a story. That is the larger question. It is not simply whether a router can “see through walls”. It is whether many different systems together can make private life increasingly less private.
Now Think Further Ahead
Move ten or fifteen years into the future. Wi-Fi sensing has become commonplace. Facial recognition is dramatically better. 5G and future mobile networks can determine positions with increasing accuracy. Cars are permanently connected. Smart buildings are normal. Cameras are everywhere. AI can analyse information in real time. A person could then potentially be handed from one system to another. The street camera says: I see the person. The phone says: I know where the person is. The access system says: the person entered here. Wi-Fi says: someone is inside this room. The outside camera says: the person has left the building. The subway system says: the person travelled here. The next camera says: I see the person again. It becomes a relay race in which one sensor hands the human being over to the next.
The Dystopian Future Does Not Need Giant Control Rooms
When we imagine a surveillance state, we often picture huge rooms filled with screens and people watching cameras. But the future may look nothing like that. Perhaps there is no control room. Perhaps the AI is simply running inside a data centre. It does not watch people in the way humans do. It searches for deviations. You normally leave your home at 8:00 AM. Today you leave at 3:17 AM. That is recorded. You normally meet three particular people. Now you begin meeting a new group. That is recorded. You normally move between your home and workplace. Now you visit a different building every Tuesday. That is recorded. When billions of such tiny events can be analysed automatically, the very nature of surveillance changes. Perhaps the most important question is therefore not: How good will the cameras become? It is: How cheap will it become to monitor a human being?
From Surveillance to Control
There is an even darker step. Watching people is one thing. Automatically making decisions about them is another. Imagine this chain: the camera recognises you, the database finds your profile, the AI makes an assessment and then the surrounding systems react. The door does not open. The ticket is rejected. The payment is stopped. The account is flagged. The police receive a notification. At that point we have moved from surveillance to control. And this does not necessarily have to arrive through one dramatic political decision where somebody announces: “We are now building a surveillance society.” It can happen step by step. First, the camera is installed for security. Then facial recognition arrives. Then smart access systems. Then Wi-Fi sensing for energy efficiency. Then AI for optimisation. Every individual step can sound reasonable. The problem appears when somebody connects all of them.
It Does Not Have to Be the Government
It is easy to think that this is only about police or intelligence agencies. But the same information can be valuable to companies. A hotel wants to know when a room is empty. An office wants to know which spaces are being used. A shopping centre wants to understand how people move. An insurance company wants to understand risk. A hospital wants to know whether a patient has fallen. A family wants reassurance that an elderly relative is moving normally. All of these can be legitimate and useful applications. But data can acquire entirely new purposes. Information collected today to save energy may tomorrow be used to analyse human behaviour. A smart lock is both a security system and a record of when the door was opened. A smart electricity meter measures consumption but may also reveal patterns suggesting when somebody is at home. A mobile phone is both a communication device and a location sensor. A router can be both an internet connection and a motion detector. The same pattern keeps appearing.
Is This Future Inevitable?
No. Wi-Fi sensing can be used for genuinely valuable things. It could detect if an elderly person has fallen. It could reduce energy use. It could switch off lights in empty rooms. It could help hotels and offices use buildings more efficiently. It could make smart homes useful without filling every room with cameras. The radio waves themselves are not the problem. The question is what we choose to do with the information they produce. We therefore need to start asking questions now. What information is collected? How long is it stored? Does raw sensing data leave the building? Can individuals be identified? Can the information be sold? Can it be combined with other databases? Can authorities gain access to it? Can the feature actually be switched off? Do the people inside the building even know that sensing is taking place? These questions may become more important than the technology itself.
When the Walls Begin to See
George Orwell wrote about the telescreen, a device on the wall that displayed information while simultaneously watching the person standing in front of it. Reality may become much less dramatic. There may be no large black screen, no camera with a glowing red light and no suspicious microphone hidden in the wall. Just ordinary objects: the router on the shelf, the access point in the ceiling, the phone in your pocket, the camera at the railway station, the car on the street and the payment terminal in the café. Each device simply performs its small task. But somewhere, an AI system may be able to connect them.
We are not there yet. Wi-Fi cannot today automatically identify every human being through every wall. Police cannot simply open a laptop and see everybody inside every house. Much of the most advanced technology still exists in research laboratories. But the building blocks are beginning to appear. Cameras can recognise faces. Phones can provide location data. Wi-Fi can detect movement. Researchers can estimate body poses from radio signals. Other researchers are experimenting with recognising individuals from those same signals. AI can combine enormous amounts of information.
Perhaps the greatest privacy question of the future will therefore not be: Who is watching me?
It may be:
Who is allowed to connect the information about me?
Because every individual piece of data can look harmless. Together, however, those pieces may describe almost an entire human life. And by the time our buildings can sense what happens inside them, our cameras recognise us outside them and artificial intelligence can connect everything together, we need to have already decided where the limits should be.
Otherwise, we may not discover those limits until the systems are already everywhere.
By then, nobody will need to install a special surveillance system.
We may already be living inside it.
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