Wi-Fi Detection Could Deliver Wireless Intrusion Sensing Capable Of Identification.
Wi-Fi Detection Could Deliver Wireless Intrusion Sensing – Researchers in Germany have demonstrated that standard Wi-Fi networks can be used to identify individuals by analysing how radio signals reflect through a space — a development that points to a new class of passive intrusion detection.
While much of the discussion has focused on privacy implications, the underlying capability has clear relevance for security applications. Because the technology works without cameras or wearable devices, it offers a potential pathway for low-visibility intrusion detection in environments where traditional surveillance is limited or impractical.
The approach could support presence detection across dark or obstructed spaces, augment perimeter systems, or provide an additional sensing layer in high-security environments. It also operates using existing infrastructure, avoiding the need for dedicated sensors.
The work, led by the Karlsruhe Institute of Technology, shows that ordinary Wi-Fi routers can effectively ‘see’ people by interpreting radio wave propagation, in a similar way cameras interpret light. Unlike traditional systems, the approach does not rely on a device being carried — identification is based purely on how a person’s body interacts with the signal environment.
“By observing the propagation of radio waves, we can create an image of the surroundings and of persons who are present,” said Professor Thorsten Strufe. “This works similar to a normal camera, the difference being that in our case, radio waves instead of light waves are used for the recognition.”
The system uses beamforming feedback information (BFI), which is already exchanged between WiFi devices and routers, to build multiple views of a subject. These signal patterns are then processed by machine learning models to enable identification, reportedly within seconds once trained.
In testing involving nearly 200 participants, the researchers achieved close to 100 per cent accuracy, regardless of movement or viewing angle.
Researchers noted that the technology relies on unencrypted signal feedback and is not yet standardised, with calls for safeguards to be considered in the upcoming IEEE 802.11bf specification.
For the security sector, the development highlights a broader trend in which sensing is moving beyond cameras and motion detectors into ambient signal analysis, where networks themselves become part of the detection layer.
You can discover the original paper here or read more SEN news here.
“Wi-Fi Detection Could Deliver Wireless Intrusion Sensing Capable Of Identification.”
