Abstract: Identity identification is often carried out via traditional authentication methods using biometric data, such as fingerprints, or user information verification, such as inputting a password. When using simply these authentication techniques, there are security hazards. Everyone considers security to be a big problem while they are apart from their family. There is currently no satisfactory solution for the aforementioned problem. Here, an electronic security architecture is introduced. Security has always been a worry in our homes, offices, stores, etc., and it continues to be so today. Everyone worries about someone breaking into their house or workplace without their permission. For instance, it may be difficult to tell if the person typing the password is authorised if the password has been hacked. The development of a two-factor RFI and biometric fingerprint authentication-based security scheme is described in this work. It can offer effective control facilities to prevent entry of an unauthorised user at any workplace, posing risks and disrupting work-flow. Passive approaches, communication alerts, the Internet of Things, machine learning, and database management systems have all been explored in relation to various technologies. This initiative focuses on protecting customers against unauthorised use of products, thefts, and constant notification for the benefit of society.
Keywords: Fingerprint sensor, RFID, Signal Processing, Micro-controller, Data Acquisition, Communication,Machine Learning,
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DOI:
10.17148/IJARCCE.2023.12647
