Multi-Camera Proctoring System for Cheating Detection
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Solution Overview
Problem
Current computer-based testing systems face challenges in preventing cheating, as existing methods such as screen sharing and webcam monitoring are inadequate, allowing examinees to cheat by adjusting camera angles, using external assistance, or employing unapproved notes.
Innovation Solution
A proctoring system that employs multiple digital cameras positioned to capture video of the examinee's keyboard, face, and monitor screen, along with proctoring software to monitor and record keystrokes and screen activity, utilizing artificial intelligence to detect anomalies and ensure the integrity of the testing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single webcam is used for monitoring, then the device complexity is low, but the reliability of cheating detection is insufficient
Solution Approach 1:
The monitoring system is segmented into multiple independent camera units, each responsible for capturing specific areas (face, hands, keyboard, screen). This segmentation allows comprehensive coverage without requiring a single complex camera system, thereby improving cheating detection reliability while managing device complexity through modular deployment
Solution Approach 2:
The system transitions from single-dimension (one camera angle) to multi-dimensional monitoring by positioning cameras at different locations and orientations. This dimensional expansion enables simultaneous observation of multiple critical areas, significantly enhancing the ability to detect cheating behaviors that would be invisible from a single viewpoint
2Reliability
If multiple cameras are deployed to capture all angles, then the reliability of monitoring improves, but the device complexity and cost increase
Solution Approach 1:
Different camera positions are assigned specific monitoring responsibilities based on local requirements: one camera focuses on the examinee's face and upper body, another on hands and keyboard, and a third on the screen. This localized quality approach ensures comprehensive monitoring coverage while avoiding the complexity of using multiple high-end cameras, as each camera can be a standard unit optimized for its specific viewing area
Solution Approach 2:
The multiple camera system is designed with universal functionality where each camera can serve multiple purposes. For example, the camera capturing the examinee's face also captures hand movements near the face, and the keyboard camera captures both typing and any unauthorized materials on the desk. This multi-functionality reduces the need for specialized cameras for each function, managing overall system complexity
3Reliability
If comprehensive video monitoring is implemented, then the ability to detect cheating improves, but the loss of time for processing and reviewing video increases
Solution Approach 1:
The system performs preliminary actions by continuously analyzing video streams in real-time during the exam using AI algorithms to detect suspicious behaviors such as face occlusion, unusual hand movements, or unauthorized screen content. This preliminary detection and filtering of anomalies before full review significantly reduces the time proctors need to spend reviewing complete video recordings, as they only need to investigate flagged incidents
Solution Approach 2:
The system implements feedback mechanisms where AI analysis of video feeds provides real-time alerts to proctors about detected anomalies. This feedback loop allows proctors to focus their attention only on suspicious events rather than reviewing all video content, dramatically reducing the time loss associated with comprehensive video monitoring while maintaining high cheating detection capability
Data Source
AI summary
A system and a method of using the system for proctoring of a computer administered exam or test. The proctoring system includes software and at least two digital proctoring cameras arranged to capture at least: strokes on a keyboard, information displayed on a monitor, and activities of the examinee. The system can additionally capture video of the environment surrounding the testing computer. The information can be time stamped enabling synchronization thereof. The collected information is forwarded to a proctoring system, which can include artificial intelligence software to aid in monitoring the administration of the tests. A privacy screen can be employed to limit a viewing angle of the screen.