International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Nowadays, many educational institutions are dependent on manual attendance and basic ID checks, which are time-consuming, error-prone, and vulnerable to manipulation, leading to inefficiency and security risks. The proposed system - EduFace addresses these issues by using OpenCV and Dlib for realtime facial recognition, enabling automated attendance and secure access control. A Raspberry Pi–controlled motor system manages door access for verified users, while unauthorized attempts are flagged through the web interface. The system also sends WhatsApp alerts to parents via Twilio and provides administrators with a centralized dashboard for real-time monitoring. By reducing manual effort and preventing proxy attendance. EduFace also offers a modern, efficient and secure solution for campus management. In addition, the system currently does not integrate cloud-based scaling, resulting in attendance data and logs being stored locally, which can make management more challenging for very large institutions

Keywords: OpenCV, Dlib, Raspberry PI, Twilio

Downloads: | DOI: 10.17148/IJARCCE.2025.141247