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AI is Turning WiFi Routers into Secret Surveillance Devices

How AI is Using WiFi Routers to See Through Walls

AI seeing through walls

In recent years, artificial intelligence (AI) has made significant advances in many areas, including computer vision.

One of the most impressive recent developments is the ability of AI to use WiFi signals to see through walls. This technology has the potential to revolutionize the way we monitor and investigate people, with implications for both privacy and security.

How does it work?


WiFi routers emit radio waves that can penetrate walls and other obstacles. These radio waves can be used to create a “fingerprint” of the environment, which can then be used to track the movement of people inside the room. AI algorithms can be used to analyze these fingerprints and identify the presence and motion of human bodies.

The accuracy of this technology depends on a number of factors, including the strength of the WiFi signal, the number of WiFi routers in the area, and the type of walls. In ideal conditions, AI-powered WiFi cameras can achieve a detection accuracy of up to 90%.

This technology has a wide range of potential applications, including:

  • Security: AI-powered WiFi cameras could be used to monitor public spaces for suspicious activity, such as people carrying weapons or drugs. They could also be used to track the movements of criminals or missing persons.
  • Healthcare: AI-powered WiFi cameras could be used to monitor patients in hospitals or nursing homes for falls or other medical emergencies. They could also be used to track the progress of rehabilitation patients.
  • Retail: AI-powered WiFi cameras could be used to count the number of people in a store or to track the movement of customers around the store. This information could be used to improve store layout and customer service.
  • Intelligent transportation systems: AI-powered WiFi cameras could be used to track the movement of vehicles on roads and highways. This information could be used to improve traffic flow and safety.

The potential applications of WiFi cameras are vast, and this technology is likely to become increasingly widespread in the years to come. However, it is important to note that this technology also raises some privacy concerns.

For example, WiFi cameras could be used to track the movements of people without their knowledge or consent. This could be used to monitor people’s activities, such as their political affiliations or religious beliefs. It is important to carefully consider the privacy implications of using WiFi cameras before deploying them.

Overall, the ability to use WiFi routers to see through walls is a significant technological breakthrough. This technology has the potential to be used for a variety of purposes, both beneficial and harmful. It is important to use this technology responsibly and to consider the privacy implications before deploying it.

How AI Turns WiFi Routers into Cameras

The process of turning WiFi routers into cameras using AI can be broken down into three main steps:

  • Collecting data: The first step is to collect data on the radio waves that are emitted by WiFi routers. This data can be collected using a variety of methods, such as using a spectrum analyzer or a WiFi sniffer.
  • Training the AI algorithm: Once the data has been collected, it needs to be trained on an AI algorithm. The AI algorithm will learn to identify the unique signatures of human bodies in the radio waves.
  • Deploying the AI camera: Once the AI algorithm has been trained, it can be deployed on a WiFi router. The WiFi router will then be able to see through walls and track the movements of people in the room

The AI algorithm that is used to turn WiFi routers into cameras is typically a deep learning algorithm. Deep learning algorithms are a type of machine learning algorithm that are trained on large datasets of data. In this case, the data that is used to train the AI algorithm is the radio waves that are emitted by WiFi routers.

The AI algorithm learns to identify the unique signatures of human bodies in the radio waves by analyzing the patterns of the waves. The algorithm looks for patterns that are consistent with the movement of human bodies, such as the way that the waves are scattered when a person walks or runs.


Once the AI algorithm has been trained, it can be deployed on a WiFi router. The WiFi router will then be able to see through walls and track the movements of people in the room. The AI camera can be used to monitor public spaces, track the movements of patients, or count the number of people in a store.

Privacy Concerns


While the potential applications of AI-powered WiFi cameras are exciting, there are also some potential privacy concerns. For example, if these cameras are used in public spaces, people could be tracked without their knowledge or consent. It is important to carefully consider the privacy implications of this technology before it is widely deployed.

One way to address privacy concerns is to use anonymized data. This means that the data that is collected from the WiFi cameras is not linked to any individual person. This makes it much more difficult to track the movements of individuals.

Another way to address privacy concerns is to use consent. This means that people who are being monitored by WiFi cameras should be given the opportunity to opt out of being monitored. This can be done by providing a way for people to turn off their WiFi routers or by using cameras that only record when someone has given their consent.



It is important to note that there is no single solution to the privacy concerns that are raised by AI-powered WiFi cameras. The best approach will vary depending on the specific application of the technology. However, it is important to carefully consider the privacy implications of this technology before it is widely deployed.

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