Yes, Exam-On’s AI proctoring system is equipped to detect a wide range of cheating behaviors. It monitors facial expressions, browser activity, voice patterns, unauthorized programs, and device usage in real-time, flagging suspicious actions for instructors.

Exam-On uses advanced AI algorithms, computer vision models, as well as audio analysis to continuously assess the student’s environment and actions during the exam. Any deviation from expected behavior is logged and included in the final proctoring report.

Yes. Exam-On detects the presence of unauthorized devices such as mobile phones and other electronics through real-time video and environment monitoring. Alerts are generated and students are blacklisted momentarily, if suspicious movements or audio signals are detected. These activities are also tracked and logged by the system

Yes. Exam-On can track eye movement patterns to detect instances where candidates frequently look away from the screen, which may suggest access to unauthorized material or devices.