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A Survey on AI Proctoring Systems


EOI: 10.11242/viva-tech.01.08.017

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Citation

Neha Hosbet, Aparna Rane, Rahul Prajapati, Saniket Kudoo, " A Survey on AI Proctoring Systems", VIVA-IJRI Volume 1, Issue 8, Article 1, pp. 1-9, 2025. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

"Online examination proctoring has become increasingly crucial with the widespread adoption of remote learning and assessments. This survey paper synthesizes findings from various research efforts focused on enhancing the integrity, scalability, and reliability of online proctoring systems using advanced technologies. The surveyed studies highlight innovative methods such as AI-driven proctoring models, deep learning algorithms, and biometric verification techniques. Key contributions include the integration of YOLO algorithms, Siamese networks, and multimodal biometric systems for real-time cheating detection, alongside client-side processing to reduce server dependency. Furthermore, challenges such as privacy concerns, algorithmic bias, and the need for scalable, cost-effective solutions are critically examined. Approaches like hybrid machine learning classifiers, gaze tracking, and facial activity monitoring demonstrate significant accuracy in detecting dishonest behaviors, while frameworks like Sub-center ArcFace advance facial recognition capabilities. Emphasis is placed on balancing robust security measures with user accessibility and privacy. This survey provides a comprehensive overview of the current advancements in online proctoring technologies, addressing limitations and proposing directions for future research to ensure secure, fair, and efficient online examination environments."

Keywords

Academic Integrity, AI, Biometric Authentication, Online examinations, Proctoring Technologies

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