AI Based Anti-Cheating Surveillance System

DOI

10.2991/978-94-6463-948-3_40How to use a DOI?

Keywords

Cheating Detection; Computer Vision; Examination Security; Facial Landmark; Real-Time Monitoring

Abstract

With wider use of computer-based examinations, ensuring academic honesty has been a significant challenge. The traditional methods of manual supervision are limited. They are inconsistent and prone to human error. We developed an automated system to detect cheating. The computer vision and machine learning-based system observes students in real time. The system was implemented in Python. We utilize image and video processing through OpenCV, precise face and eye detection through Dlib, and fast recognition based on TensorFlow Lite for efficient operation in ordinary devices. We have a simple GUI interface based on Tkinter to initiate, terminate, and display monitoring. The system observes indicators of cheating, i.e., undue duration of eye shifts, absent faces, and extra people in the scene. The system notifies when it observes dubious behavior. The experiments demonstrated that the system effectively observed these actions under a variety of lighting setups and devices. The system operates effectively under a light computational footprint. This indicates that automation has the potential to enhance fairness and robustness of examinations by minimizing reliance upon human monitor. It shows that scalable, smart proctoring solutions are applicable in schools.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yogesh Pawar
AU  - Vedant Loya
AU  - Shrey Mahajan
AU  - Madhav Soni
AU  - Moulik Lunawat
AU  - Tejas Mahajan
AU  - Srushti Mahandule
PY  - 2026
DA  - 2026/01/06
TI  - AI Based Anti-Cheating Surveillance System
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 567
EP  - 580
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_40
DO  - 10.2991/978-94-6463-948-3_40
ID  - Pawar2026
ER  -