Facial recognition is associated with numerous information security and privacy invasion issues. Our team utilizes proprietary physiological signals for identity recognition. Based on this mechanism, we have successfully resolved the privacy invasion issue while achieving higher security than any current payment mechanism. Through this project, satisfaction surveys regarding product mass production will be conducted to adjust relevant physiological signal parameters and prepare for future high-volume mass production. In the future, through the resource integration of chips, secure environments, and NFC controllers, it can become a mainstream application for global biometric payments. This project can be applied to digital healthcare applications on the hospital side, thereby enhancing the security of digital transmissions within hospitals.
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