Published Paper Details:

Attendance management is a fundamental aspect of educational institutions for monitoring student performance and maintaining official records. Traditional manual methods, such as roll calls and paper registers, are increasingly viewed as inefficient due to significant time consumption and susceptibility to human error or proxy attendance. While various automated solutions like biometric scanners and QR codes have emerged, they often necessitate expensive hardware, consistent internet connectivity, and physical contact. To address these limitations, this research proposes an automated face recognition attendance system designed for both offline and online functionality. Utilizing a standard laptop camera, the system performs real-time face detection while incorporating anti-spoofing measures to prevent deception via photographs or digital screens. Data is stored locally to ensure operational continuity in areas with poor network coverage and is synchronized with the cloud once a connection is established. Furthermore, the integration of a GSM gateway allows the system to send automated SMS notifications to parents regarding student absences without relying on the internet. This approach provides a secure, cost-effective, and hygienic solution for attendance tracking in diverse environments.