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@article{195609,
        author = {Nathani Rajitha and Karanki Pallavi and Machavarapu Likitha},
        title = {Design and Implementation of an FPGA-Based Smart Biometric Security System with Multi-Level Authentication and Real-Time Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {675-681},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195609},
        abstract = {The increasing demand for secure and intelligent home automation systems has led to the development of advanced authentication-based security solutions. This paper presents the design and implementation of an FPGA-based smart biometric security system integrated with multi-level authentication and real-time monitoring capabilities. The proposed system combines fingerprint recognition, keypad-based access, and one-time password (OTP) verification through email to enhance security reliability.
The Field Programmable Gate Array (FPGA) acts as the central processing unit, enabling high-speed parallel processing of authentication inputs, thereby reducing system latency and improving response time compared to conventional microcontroller-based systems. A Raspberry Pi module is integrated with a cam- era unit to capture real-time images during access attempts, providing continuous surveillance and record maintenance.
The system is designed to allow access only to authorized users by verifying stored biometric data and dynamically generated OTP codes. Experimental results demonstrate improved authentication accuracy, faster response time, and enhanced security compared to traditional single-level authentication systems. The proposed solution is cost-effective, scalable, and suitable for modern smart home applications. Future enhancements include IoT-based remote monitoring, mobile application integration, and AI-driven facial recognition for intelligent threat detection. The developed system provides a robust foundation for next-generation smart security architectures.},
        keywords = {FPGA, Biometric Security, Smart Home, Fingerprint Authentication, OTP Verification, Raspberry Pi, Real-Time Monitoring},
        month = {April},
        }