RFID-transformer recognition system (RTRS): enhancing privacy in facial recognition with transformer models

What is it about?

This study introduces a new system called the RFID-Transformer Recognition System (RTRS), which is designed to enhance privacy in facial recognition. Unlike traditional methods that rely on capturing and storing images, this system uses RFID technology to recognize individuals without needing visual data. By doing so, it significantly reduces the privacy risks associated with conventional facial recognition systems. The RTRS system works by capturing signal data from RFID tags and then using a powerful machine learning model called a Transformer to accurately identify people. The system has been tested in various challenging conditions, such as low light and different face orientations, and has achieved a high recognition accuracy of 98.91%. This makes it a reliable and privacy-preserving alternative to traditional facial recognition methods. Overall, the RFID-Transformer system offers a safe, effective, and private way to recognize individuals, making it a valuable tool for applications where privacy is a top priority.

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