Academic Journal
AI-Based Cheating Detection System Using Computer Vision.
| Τίτλος: | AI-Based Cheating Detection System Using Computer Vision. |
|---|---|
| Συγγραφείς: | Keerthi, Muppala Naga, sai, Anisetti |
| Πηγή: | International Scientific Journal of Engineering & Management; Jun2026, Vol. 5 Issue 6, p1-9, 9p |
| Θεματικοί όροι: | Computer vision, Artificial intelligence, Human activity recognition, Education ethics |
| Περίληψη: | The AI-Based Cheating Detection System Using Computer Vision is a smart monitoring system designed to identify suspicious activities during online examinations.[1] The system uses a webcam and computer vision techniques to observe the student's face and movements in real time. It can detect actions such as looking away from the screen, multiple faces appearing in the camera, or the absence of a face from the video frame.[3] The captured video is processed using artificial intelligence algorithms to analyze student behavior and identify possible cheating attempts. When suspicious activity is detected, the system generates alerts and records the event for review. This project helps educational institutions conduct fair and secure online examinations with less human supervision. The system is easy to use, cost-effective, and improves the integrity of online assessments. [ABSTRACT FROM AUTHOR] |
| Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 195396268 RelevancyScore: 1082 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1082.4189453125 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI-Based Cheating Detection System Using Computer Vision. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Keerthi%2C+Muppala+Naga%22">Keerthi, Muppala Naga</searchLink><br /><searchLink fieldCode="AR" term="%22sai%2C+Anisetti%22">sai, Anisetti</searchLink> – Name: TitleSource Label: Source Group: Src Data: International Scientific Journal of Engineering & Management; Jun2026, Vol. 5 Issue 6, p1-9, 9p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Human+activity+recognition%22">Human activity recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Education+ethics%22">Education ethics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The AI-Based Cheating Detection System Using Computer Vision is a smart monitoring system designed to identify suspicious activities during online examinations.[1] The system uses a webcam and computer vision techniques to observe the student's face and movements in real time. It can detect actions such as looking away from the screen, multiple faces appearing in the camera, or the absence of a face from the video frame.[3] The captured video is processed using artificial intelligence algorithms to analyze student behavior and identify possible cheating attempts. When suspicious activity is detected, the system generates alerts and records the event for review. This project helps educational institutions conduct fair and secure online examinations with less human supervision. The system is easy to use, cost-effective, and improves the integrity of online assessments. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=195396268 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55041/ISJEM08053 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Subjects: – SubjectFull: Computer vision Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Human activity recognition Type: general – SubjectFull: Education ethics Type: general Titles: – TitleFull: AI-Based Cheating Detection System Using Computer Vision. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Keerthi, Muppala Naga – PersonEntity: Name: NameFull: sai, Anisetti IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25836129 Numbering: – Type: volume Value: 5 – Type: issue Value: 6 Titles: – TitleFull: International Scientific Journal of Engineering & Management Type: main |
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