Published Paper Details:

In many educational institutions, traditional attendance systems often rely on manual entry or single-layer authentication methods, which can lead to inaccuracies, proxy attendance, and inefficient record management. To address these limitations, this paper presents "SmartID", an IoT-based smart attendance system that integrates dual authentication using face recognition and RFID technology. The system is designed to ensure secure, reliable, and automated attendance tracking. The proposed system combines real-time facial recognition with RFID card verification to provide an additional layer of authentication. A NodeMCU (ESP8266) module is used to establish communication between the hardware components and cloud-based services. Upon successful authentication, attendance data is transmitted and stored in Google Sheets, enabling centralized and easily accessible record management. Additionally, an automated email notification feature is incorporated to inform users of their login activity, enhancing transparency and security. The system is capable of handling both login and logout events, along with calculating the duration of presence. By minimizing manual intervention and reducing the chances of proxy attendance, SmartID improves both accuracy and efficiency. The implementation demonstrates a practical and cost-effective solution suitable for academic institutions and other environments requiring secure attendance monitoring. Overall, the integration of IoT with biometric and RFID-based authentication provides a scalable and reliable framework for modern attendance systems.