Who-Fi: Innovative spying AI-led Wi-Fi Technology to signal human activities behind the scene

 Who-Fi is another front-line technology led by features of artificial intelligence (AI) to recognize and track persons without any visual involvement such as cameras, phones, or wearable devices. Who-Fi is still in the embryonic stage tested before being used among customers.  It has immense significance in identity authentication and investigation.  Among startling benefits, several experts squabble about the Who-Fi technology about digital privacy and security.

Who-Fi operates on the principle of analyzing a person's body that distorts Wi-Fi signals in a space. These misrepresentations create a unique “Wi-Fi fingerprint” that can track the pattern of a person's body movement between rooms or even through walls. The system uses Channel State Information (CSI), data about Wi-Fi signals which act between a transmitter and receiver. This technology signals in a dissimilar manner when any individual enters in a Wi-Fi zone because his/her body changes these signals. Such patterns are recorded into a transformer-based neural network generated by an AI model in natural language processing.

Important aspects of Who-Fi are device-free which entails that the system does not need any physical devices such as mobile phones, smartwatch, or tag. System is built as camera-free and operates in complete darkness or through walls. Unique characteristic is no human interaction with any system. It provides over 95% re-identification success in tests. Who-Fi technology is great innovation for elder care and home automation.  It can be useful for employee monitoring and mass surveillance. Proper implementation of Who-Fi enables the system to silently track suspicious activities in homes, offices, stores, and public spaces.

Who-Fi has great applications in offering security to companies and surveillance in secure areas though it is an experimental technology, It can be useful technological innovation in the health arena through passive monitoring of aged people living alone in their homes. In Retail and Public Spaces, Who-fi comprehends typical behavioral patterns of  customer behavior, foot traffic, and crowd areas to offer feasible plans and security tactics.

 

On some grounds, Who-Fi, supporting technology that unlocked deceptive activities, is severely gripped in privacy issues. Heated concern is surveillance without consent. It also raises several ethical questions.

Who-fi technology is new generation innovation which is highly compatible with existing infrastructure.  Generally, the majority of office buildings and residential complexes are enabled with Wi-Fi networks. Therefore, it is convenient to deploy WhoFi without installing extra sensors. Who-fi is a latent surveillance technique that operates through Wi-Fi signals with an array of applications that benefit professionals, seniors and companies to maintain security.

Bottomline:

Who-Fi is a ground-breaking technology powered by artificial intelligence (AI) operating in Wi-Fi zones without any visual aid. It can convert normal Wi-Fi signals into biometric scanners. Basically, Who-Fi is used to track people through the wall and identify unique biometric signatures. Key feature of Who-Fi is a biometric identification led with an AI system in which body movement of the person body distorts Wi-Fi signals. Who-fi is beneficial for professionals because it does not collate images or sounds that can interfere in the privacy zone and cracking personal data. Who-fi as an evolving technology is challenged by some antagonists who criticizes the technology on ethical grounds. People are being monitored without their consent. Who-Fi technology offers great avenues for cyber security as well as raising concern in digital privacy.

Important note: Above technical content is developed through inventive analysis of topic fetched from environmental resources. Information provided in the article is for increasing general awareness. Any technical query regarding the topic must be discussed with an expert. Any resemblance is just a coincidence. Writer is not responsible for any disagreement.

 

 

 

 

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