An IoT ENABLED EXAMINATION HALL MONITORINNG AND ATTENDANCE RECORDING SYSTEM | IJET Volume 12 – Issue 3 | IJET-V12I3P45

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International Journal of Engineering and Techniques (IJET)

Open Access • Peer Reviewed • High Citation & Impact Factor • ISSN: 2395-1303

Volume 12, Issue 3  |  Published: May 2026

Author: C. Amali, Mahalakshmi R, Mahalakshmi S, Manjula S

DOI: https://doi.org/{{doi}}  •  PDF: Download

Abstract

Maintaining integrity and discipline during examinations is a significant challenge for educational institutions. Traditional exam hall monitoring methods rely mainly on manual invigilation, which can result in limited supervision, human error, and increased possibilities of malpractice. To address these issues, IoT-based Exam Hall Monitoring System is proposed. The proposed system utilizes the ESP32CAM module for real-time video surveillance and image capture within the examination hall. This enables continuous monitoring of student activities and helps to detect suspicious behaviours such as unauthorized movement and abnormal interactions. An RFID scanner is implemented for secure student authentication and automatic attendance marking, thereby preventing impersonation and proxy attendance. A sound sensor is integrated to detect unusual noise levels, including whispering and unauthorized communication. When the sound intensity exceeds a predefined threshold, the system triggers alerts and captures images as evidence. All collected data, including attendance records and alert notifications, are transmitted via Wi-Fi to a cloud platform for real-time remote monitoring. The proposed system provides a cost-effective, scalable, and efficient solution that enhances examination security, improves transparency, and reduces dependence on manual supervision. The proposed system mainly supports SDG 4 – Quality Education by ensuring fair and transparent examinations. It is also in align with SDG 9 – Industry, Innovation and Infrastructure through the use of smart technologies.

Keywords

monitoring, esp32cam, attendance recording, sensors.

Conclusion

The proposed smart exam hall monitoring system improves examination security, transparency, and discipline by providing automated monitoring and alert mechanisms. It helps to reduce malpractice, human errors, and dependency on manual supervision while ensuring a fair examination environment. In future, the system can be enhanced using Machine Learning and Deep Learning techniques to detect chit papers, suspicious activities, and cheating behaviour more accurately. The system can be used in schools, colleges, universities, competitive exam centers and other educational institutions for secure and efficient examination management.

References

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Cite this article

APA
C. Amali, Mahalakshmi R, Mahalakshmi S, Manjula S (May 2026). An IoT ENABLED EXAMINATION HALL MONITORINNG AND ATTENDANCE RECORDING SYSTEM. International Journal of Engineering and Techniques (IJET), 12(3). https://doi.org/{{doi}}
C. Amali, Mahalakshmi R, Mahalakshmi S, Manjula S, “An IoT ENABLED EXAMINATION HALL MONITORINNG AND ATTENDANCE RECORDING SYSTEM,” International Journal of Engineering and Techniques (IJET), vol. 12, no. 3, May 2026, doi: {{doi}}.
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