Intelligent Access System Based on Digital Fingerprint Recognition

Abstract

This paper presents the design and implementation of an IoT-based biometric access control system that integrates ESP32, fingerprint recognition, and a web-based remote management platform. The system leverages FreeRTOS for efficient task scheduling and real-time processing, ensuring stable operation even during network disruptions. Experimental tests demonstrate a 98% fingerprint recognition accuracy, stable Wi-Fi connectivity, and low power consumption, confirming the system’s feasibility and scalability. This work contributes to biometric authentication research by integrating modern security techniques with embedded IoT systems, making it a viable solution for smart buildings and secure access environments.