A Real-time Facial Recognition Framework For Secure Attendance Monitoring In Examination Environments

Abstract

Exam Hall Management Plays A Critical Role In Maintaining Academic Integrity. Traditional Identification Methods Such As Hall Tickets And ID Cards Are Prone To Errors And Impersonation. This Paper Proposes A Robust And Automated Solution Using Facial Recognition Technology To Enhance Security, Verify Student Identities, And Streamline Entry Processes In Examination Halls. Leveraging Computer Vision And Deep Learning Algorithms, The System Automates Identity Verification, Monitors Real-time Attendance, And Detects Unauthorized Access Attempts. The Proposed System Reduces Human Intervention, Improves Accuracy, And Ensures A Secure And Efficient Examination Environment.

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