Authentication System for Exam Halls Using Face Biometrics by Artificial Intelligence

Abstract

Authentication has consistently been the biggest difficulty during exams. Verifying candidates' test eligibility is a difficult process that takes time after typical candidate screening. The project's goal is to combat this by preventing impersonation by exploiting the candidate's facial biometric traits, which are recognized by the DCNN algorithm. The Exam Hall Authentication System Using Face Biometric is a cutting-edge solution designed to enhance the security and integrity of examination halls by utilizing facial recognition technology. Traditional methods of verifying the identity of individuals in exam halls, such as ID card checks or manual supervision, can be prone to human errors and fraudulent activities. This system aims to overcome these challenges by leveraging the unique characteristics of an individual's face for authentication purposes. The enrolment stage and the verification of identities phase are the system's two primary parts. Each exam participant's face characteristics are photographed and safely saved in a database throughout the enrolment step. High-resolution cameras are used in this procedure to take several pictures of the participant's face from different perspectives. The positioning of facial characteristics and particular contours of the face are then extracted from these photos via processing and analysis. In the authentication phase, when an individual enters the exam hall, their face is captured by the cameras installed at strategic locations. The captured image is compared with the enrolled images stored in the database. Advanced algorithms are employed to perform a comprehensive analysis of the facial features, ensuring accurate identification and authentication of the individual. If a match is found, the system grants access to the exam hall; otherwise, it denies entry and alerts the invigilators about the potential unauthorized presence. The Exam Hall Authentication System offers several advantages over traditional authentication methods. Firstly, it significantly reduces the risk of impersonation and cheating, as the system is capable of detecting attempts to use fake identities or masks. Secondly, it improves the efficiency and speed of the authentication process, eliminating the need for manual verification and reducing waiting times for exam participants. Thirdly, the system provides a reliable and audit able record of attendance, which can be crucial for ensuring the integrity of the examination process. In conclusion, the Exam Hall Authentication System Using Face Biometric is a robust and secure solution that enhances the security and efficiency of examination halls. By leveraging facial recognition technology, it provides reliable authentication, reduces the risk of fraud, and ensures a fair and transparent examination environment