The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration
Examination malpractice remains a major concern for academic institutions, impacting on the fairness and credibility of evaluations. To address this, we analyze and propose an Offline Automated Invigilation System with Gmail Integration that leverages computer vision and machine learning to detect a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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INTI International University
2025
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2146/ http://eprints.intimal.edu.my/2146/1/jods2025_05.pdf http://eprints.intimal.edu.my/2146/2/689 |
| _version_ | 1848766932755415040 |
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| author | A., Eenaja Ch., Sirivarshini J., Navya G., Varshitha N., Sahithi |
| author_facet | A., Eenaja Ch., Sirivarshini J., Navya G., Varshitha N., Sahithi |
| author_sort | A., Eenaja |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Examination malpractice remains a major concern for academic institutions, impacting on the fairness and credibility of evaluations. To address this, we analyze and propose an Offline Automated Invigilation System with Gmail Integration that leverages computer vision and machine learning to detect and prevent unethical behavior during offline exams. The system features three detection modules: YOLO for identifying mobile phones, Support Vector Machines (SVM) for tracking abnormal head movements, and Haar Cascade for real-time eye movement analysis. These technologies work together to monitor students, detect suspicious behavior, and capture evidence, which is then sent via Gmail alerts to examination authorities. Designed to operate without internet connectivity, the system ensures effective invigilation even in remote or resource-limited environments. By reducing human dependency and automating the detection process, this solution enhances accuracy, scalability, and integrity in offline examination settings. |
| first_indexed | 2025-11-14T11:59:00Z |
| format | Article |
| id | intimal-2146 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:00Z |
| publishDate | 2025 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-21462025-06-20T09:34:00Z http://eprints.intimal.edu.my/2146/ The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration A., Eenaja Ch., Sirivarshini J., Navya G., Varshitha N., Sahithi QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Examination malpractice remains a major concern for academic institutions, impacting on the fairness and credibility of evaluations. To address this, we analyze and propose an Offline Automated Invigilation System with Gmail Integration that leverages computer vision and machine learning to detect and prevent unethical behavior during offline exams. The system features three detection modules: YOLO for identifying mobile phones, Support Vector Machines (SVM) for tracking abnormal head movements, and Haar Cascade for real-time eye movement analysis. These technologies work together to monitor students, detect suspicious behavior, and capture evidence, which is then sent via Gmail alerts to examination authorities. Designed to operate without internet connectivity, the system ensures effective invigilation even in remote or resource-limited environments. By reducing human dependency and automating the detection process, this solution enhances accuracy, scalability, and integrity in offline examination settings. INTI International University 2025-06 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2146/1/jods2025_05.pdf text en cc_by_4 http://eprints.intimal.edu.my/2146/2/689 A., Eenaja and Ch., Sirivarshini and J., Navya and G., Varshitha and N., Sahithi (2025) The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration. Journal of Data Science, 2025 (05). pp. 1-15. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering A., Eenaja Ch., Sirivarshini J., Navya G., Varshitha N., Sahithi The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title | The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title_full | The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title_fullStr | The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title_full_unstemmed | The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title_short | The Requirement Analysis of An Offline Automated Invigilation System with Gmail Alert Integration |
| title_sort | requirement analysis of an offline automated invigilation system with gmail alert integration |
| topic | QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.intimal.edu.my/2146/ http://eprints.intimal.edu.my/2146/ http://eprints.intimal.edu.my/2146/1/jods2025_05.pdf http://eprints.intimal.edu.my/2146/2/689 |