Till now a camera is required to identify someone but now this concept is going to change. Now any person can be identified through Who-Fi. Who-Fi is an advanced and experimental technology that is capable of identifying a person and tracking his activities without any camera or visual input. This technology uses Artificial Intelligence (AI) and can be used like a biometric scanner, making normal Wi-Fi signals useful for identifying and monitoring humans.
According to a research paper published in an online journal called arXiv, a person's location and movement can be tracked using a simple 2.4GHz Wi-Fi signal and the person's biometric identification can also be done.
This system consists of a combination of Wi-Fi signals and a transformer-based neural network (LLM). This system reads the changes in the Wi-Fi signal, which is called Channel State Information (CSI). When a person walks in the Wi-Fi field, the path of the signal changes after hitting his body. This change creates a unique pattern, which is as distinctive as someone's fingerprint or retina
Identification and tracking: Once a person's pattern is learned, he can be identified even if he comes back
Sign language recognition: Can understand body movements and gestures
No visual or audio sensors: No camera or microphone required
No difference in identification even if clothes or bags are changed
Can identify a person behind a wall with 95.5% accuracy
Technical setup and cost
Only one antenna transmitter and three antenna receivers required
No special hardware
Common Wi-Fi devices are sufficient
Hence, this technology can be installed at low cost
This system works without any radar, infrared or visible light
It does passive RF sensing, which makes it difficult to detect
It can also be used for stealth surveillance
While on one hand this technology can bring revolutionary changes in areas like smart homes, security and healthcare, on the other hand it also raises serious questions on digital privacy and personal freedom.