Exam Proctoring: Automated Proctoring Software – Conduct Digital Exams Proctored by AI

Online proctoring is a method of supervising and monitoring test-takers during online exams to ensure the integrity and authenticity of the exam process. It involves the use of technology to verify the identity of test-takers, monitor their activity during the exam, and prevent cheating. Online proctoring is commonly used in educational institutions, companies, certification programs, and professional licensing exams to ensure that test-takers are not cheating or collaborating with others during the exam. By leveraging advanced proctoring software, institutions can maintain the same level of security and trust as traditional in-person exams, ensuring that the results are fair and credible.

Online proctored exams can be taken in the Web app or via a specific software built specifically for the proctoring. In the modern day most of the online proctored exams providers are supporting web browsers. This web app monitors the test-taker’s activity during the exam, including their screen, webcam, and audio. The proctoring software can detect any suspicious activity, such as the use of unauthorized materials or collaboration with others. Some online proctoring services also employ human proctors who monitor the test-taker’s activity in real-time and can intervene if they suspect cheating.

Remote testing environments present unique challenges. Unlike in traditional in-person exams, proctors cannot physically oversee test-takers. This opens up the possibility of cheating or other unethical behaviors, which can jeopardize the fairness of the exam.

Our proctoring system fills this gap by providing real-time monitoring through AI-powered image analysis. This ensures that even in remote settings, exam integrity is maintained. In a proctored exam, this technology is crucial for verifying the identity of test-takers and monitoring their behavior throughout the assessment. It’s not just about catching cheating; it’s about creating an environment of trust and security for both test administrators and participants.

Key Features of Our Proctored exam software

Multiple Person Detection

One of the key concerns with remote exams is the possibility of outside help. It’s crucial that only the registered test-taker is present during the exam. Our system now uses advanced algorithms to detect if more than one person is visible in the camera feed. If multiple people are detected, the system automatically flags this suspicious activity for review. 

Away from Screen Tracking 

Online exams require test-takers to remain focused on their screens. But what happens if someone leaves their screen, even for a few seconds? Our system tracks when users navigate away from the exam window and how long they are absent. This feature helps prevent attempts to look up answers or consult outside resources during the exam.

Gaze Tracking

Another common method of cheating involves users frequently looking off-screen or glancing at external devices. Our gliding detection feature monitors these movements and flags cases where the user repeatedly moves their head or eyes away from the screen, potentially signaling external distractions or help.

Fake Camera Feed Detection

As online exam security improves, so do the techniques used by test-takers to cheat. One such method involves using pre-recorded video or still images to fake live camera feeds. Our dummy image detection feature is designed to combat this. If the system detects that no live person is in front of the camera, it will flag the session for review, ensuring that the test-taker is present throughout the exam.

Future Enhancements

  • Video proctoring:
  • Video Proctoring is not included in our proctoring suite. However, we recognize that some exams may require more comprehensive monitoring, and we are open to implementing video proctoring as needed based on customer demand. At this time, only image-based proctoring is available. Interested in video proctoring service for your online assessments? Reach out to us. We would be happy to implement.
  • Audio Detection:
  • In addition to visual monitoring, we are exploring the possibility of audio detection. This feature would enable the system to monitor for suspicious sounds during exams, such as unauthorized conversations or background noises that could indicate cheating. While audio detection is not currently available, we are ready to develop and integrate it based on customer needs. Reach out to us.

Real-Time Alerts and Detailed Reporting

  • One of the most powerful aspects of our image capture system is its ability to provide real-time alerts. As soon as the system detects any suspicious activity, whether it’s multiple person detection, away-from-screen incidents, or dummy image detection, it immediately flags the event for review. This allows proctors to respond swiftly, minimizing the risk of cheating during the exam.
  • In addition to real-time monitoring, the system generates comprehensive reports for each exam session. These reports include timestamps, images, and detailed logs of all flagged events, giving exam administrators the information they need to review and audit the session thoroughly.

Benefits of Our Image Capture System

  • Efficiency: Our image-based proctoring solution is less bandwidth-intensive than video proctoring, making it ideal for regions with limited internet connectivity.
  • Scalability: Whether you’re running a small exam for a single class or managing thousands of test-takers across multiple locations, our system scales effortlessly to meet your needs.
  • Cost: Our system offers a more affordable alternative to traditional video proctoring solutions, helping you manage exam integrity without breaking the budget.
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FAQs

Our AI-powered system analyzes live camera feeds to identify if more than one person is visible during the exam. If multiple individuals are detected, the system flags the session for review.

Yes. Our system logs any time a user navigates away from the exam screen and tracks how long they remain absent. Proctors are alerted to prolonged absences, ensuring exam integrity.

Our dummy image detection feature identifies when a pre-recorded or still image is being used instead of a live video feed. The system raises an alert if it detects no real person in front of the camera.

Currently, only image-based proctoring is available. However, we are open to implementing video proctoring if there is sufficient demand from our customers.

We are exploring the possibility of adding audio detection to our system. If there is demand from our customers, we will consider integrating it in future updates.