Automated Entry System

Abstract

This project presents a comprehensive entry system designed for secure and efficient access control in a university environment, integrating both soft- ware and hardware components. Users are provided with two authentication options: card scanning and PIN code verification. The system employs NodeMCU, relay, buzzer, and lock as hardware components, enhancing security through an Internet of Things (IoT) approach. The software component involves intricate interactions between classes such as Entry System, CardScanner, PinVerifier, Firebase, and Access- Control. Activities are represented in an activity diagram, while dynamic interactions are illustrated in a sequence diagram, offering a clear depiction of the system’s functionality. The hardware components, in conjunction with facial recognition tech- nology, contribute to the robustness of the access control system. The CardScanner captures card images and compares faces, while the PinVeri- fier handles PIN entry and verification. Firebase is utilized for credential verification, and AccessControl decides access grant or denial, interfacing with LockController and BuzzerController for physical access control. This project not only enhances security through multi-factor authentica- tion but also provides a user-friendly and seamless entry experience. The integration of software and hardware components demonstrates a holistic approach to access control, serving as a foundation for secure entry systems in educational institutions.