Without requiring visual input, Who-Fi is a state-of-the-art system that uses artificial intelligence (AI) to identify and monitor people. It is an experimental technology that has not yet undergone extensive real-world testing. However, according to the research article that discusses and records its proof of concept, it may be used to transform any regular Wi-Fi signal into a biometric scanner that can recognize a person’s distinct biometric signature in addition to tracking their movement and active position.
Understanding the Who-Fi Technology
Regular 2.4GHz Wi-Fi transmissions are crucial for identity identification and surveillance, and they can be used to track and identify people, according to a report published in the online preprint journal arXiv. Additionally, the technology brings up new issues about digital security and privacy.
To break down the technology, the Who-Fi system combines a transformer-based neural network (sometimes called a big language model) with a Wi-Fi signal. “Channel state information” (CSI) is something that this LLM analyzes and comprehends. It tracks variations in Wi-Fi signal strength and phase as they travel through a space and bounce off a person’s body. This can be thought of as the signals that sonar and radar equipment send out.
Therefore, the distortion in the signal’s normal course produces a distinct pattern whenever a human is in close proximity to a Wi-Fi signal. It is claimed that this pattern is just as accurate as other human biometric signatures, including fingerprints, face patterns, and retinal structure. This signature can be identified by the Who-Fi system and linked to specific people.
Once educated on these signals, the system is able to identify the person even if they return to the network zone after a long absence, in addition to tracking their movements. Additionally, it can recognize sign language and record data on body movements. The system’s primary benefit is that it operates without the use of any visual or aural sensors, including cameras and microphones.
According to the study, deployment of the Who-Fi system is inexpensive because it only needs a single-antenna transmitter and a three-antenna receiver. Regarding the system’s effectiveness, the researchers discovered that Who-Fi achieved 95.5 percent precision even if the target was behind a wall and moving at a typical pace.
It is claimed that even if the person wears a backpack or changes clothes, the accuracy remains unchanged. Notably, up to nine people can be identified and tracked at once by a single device.
Additionally, Who-Fi has a high degree of evasion, making it extremely difficult for surveillance technology to detect it. This is feasible because the system doesn’t require any specialized hardware and doesn’t detect any unique emission patterns, infrared, radar, or visible spectrum light. Furthermore, Who-Fi does passive radio frequency (RF) sensing, which facilitates concealment.
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