Λεπτομέρειες βιβλιογραφικής εγγραφής
| 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] |
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| Βάση Δεδομένων: |
Complementary Index |