AUTOFACE - Attendance Simplified Through Vision

Abatract: AutoFace: Attendance Simplified through Vision is an automated attendance management system designed to overcome the limitations of traditional manual methods, such as inefficiency, human error, and proxy attendance. The proposed system leverages deep learning–based facial recognition using the SSD MobileNet v1 architecture for real-time face detection under varying conditions. Detected faces are encoded into 128-dimensional embeddings and matched against a secure database using the Euclidean Distance metric for accurate identity verification. 

Developed using the MERN stack, the system ensures scalability, real-time data synchronization, and platform independence. It also provides features such as live session monitoring and automated report generation. Experimental results demonstrate an accuracy of 97.8% with an average latency of less than 1.5 seconds per individual. The system offers a secure, contactless, and efficient solution, significantly improving reliability and reducing administrative overhead in attendance management.  

 Keywords: AutoFace, Face Recognition, Attendance Management System, Deep Learning, SSD MobileNet, Facial Embeddings, Euclidean Distance, MERN Stack, Cloud-Based System, Real-Time Monitoring