ProctorEdge: Advanced AI Examination Monitoring and Security System

Neeraj S, Kollipara Rohith, Ani R

2025

Abstract

Rapid development of artificial intelligence and deep learning technologies has strongly transformed the online examination scenario in light of ensuring academic integrity. This paper presents an automated AI proctoring system that utilizes computer vision with facial recognition, smartphone detection, and audio detection techniques for monitoring a student’s action during online assessments. These technologies are supposed to be integrated in order to implement a system that can detect suspicious behaviors and cheating behaviors during remote exam ination. This research goes through the methodologies involved, challenges, and further enhancements needed for improving the accuracy and efficiency of proctoring systems. This work thus becomes an all-inclusive guide for educators and developers on how to fully implement some practical online proctoring solutions in educational settings.

Paper Citation

in Harvard Style

S N., Rohith K. and R A. (2025). ProctorEdge: Advanced AI Examination Monitoring and Security System. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 229-237. DOI: 10.5220/0013612700004664

in Bibtex Style

@conference{incoft25,
author={Neeraj S and Kollipara Rohith and Ani R},
title={ProctorEdge: Advanced AI Examination Monitoring and Security System},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={229-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013612700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - ProctorEdge: Advanced AI Examination Monitoring and Security System
SN - 978-989-758-763-4
AU - S N.
AU - Rohith K.
AU - R A.
PY - 2025
SP - 229
EP - 237
DO - 10.5220/0013612700004664
PB - SciTePress