Image Proctoring is a method of online exam monitoring that uses images captured at regular intervals to ensure exam integrity. This approach helps detect and prevent cheating by reviewing snapshots taken during the exam.
During an exam, the proctoring software captures images of the candidate and their surroundings at set intervals. These images are analyzed using AI algorithms to detect any suspicious behavior, such as the presence of unauthorized materials or other individuals. Any anomalies are flagged for further review by a human proctor.
Periodic Image Capture: Takes snapshots at regular intervals to monitor the exam environment.AI Analysis: Uses AI to analyze images for suspicious activities.Flagging System: Flags potential cheating behaviors for human review.Non-Intrusive: Less intrusive than continuous video monitoring, focusing on key moments.
Clear Guidelines: Inform candidates about the proctoring process and what behaviors are monitored.Data Privacy: Ensure that captured images are securely stored and only accessible to authorized personnel.Review Process: Have a system in place for human review of flagged images to ensure accuracy and fairness.
Image proctoring is less intrusive and uses periodic snapshots instead of continuous video, making it suitable for exams where privacy concerns are higher.
While it is effective in detecting many forms of cheating, it is best used in conjunction with other monitoring methods for comprehensive security.
