Real-Time Face Detection and Recognition System

Abstract

This paper proposes a cloud-based facial recognition system for automated attendance management in educational institutions. The system leverages Amazon Web Services (AWS) such as Lambda, DynamoDB, S3, and Amazon Rekognition to perform facial recognition and record student attendance. A Python-based GUI serves as the frontend, offering features for capturing
attendance and allowing admin operations like resetting or starting new attendance sheets. Face prints are stored and matched via AWS Rekognition, and attendance records are saved on the cloud. The proposed system aims to eliminate proxy attendance and streamline the entire process, ensuring security, scalability, and real-time performance.