AI-Powered Exam Monitoring and Cheating Detection System
AI & Machine Learning
Project Overview
The client wanted a smart AI-based monitoring system to detect cheating during online and in-person exams. The goal was to use CCTV cameras to track candidate behavior and ensure they stayed focused on their own exam sheets. The system needed to detect suspicious activities like looking at another student’s sheet, unusual head movements, body posture shifts, and hand or eye distractions, helping exam supervisors maintain fairness and integrity in test environments.
Our Contribution
🎯 Developed an AI-powered monitoring system to detect cheating behaviors in real time. 🎯 Implemented pose estimation to analyze body posture, hand, eye, face, and head movements. 🎯 Designed an intelligent tracking system to detect when a candidate looks away from their exam sheet. 🎯 Built an alert system to notify proctors when suspicious activity is detected.
Our Contribution
We designed and implemented a real-time alert system that proactively supports exam supervisors by instantly notifying them whenever suspicious behavior is detected. Whether it’s a candidate looking away from their exam sheet, unusual hand movements, or shifting body posture, the system immediately flags the activity and sends an alert to the proctor. This fast response mechanism empowered proctors to intervene quickly and fairly, reducing the chances of undetected cheating. By giving supervisors timely and actionable insights, we helped create a more secure, transparent, and trustworthy examination environment.
KEY FEATURES
Tool & Technologies
Customer Feedback
John Doe
Codetic
Results
Automated cheating detection improved exam integrity by reducing human monitoring efforts and enabling real-time identification of suspicious behavior, ensuring a fair and secure examination environment.
Deliverables
AI-Powered Monitoring System
A sophisticated system capable of detecting cheating behaviors in real-time during both online and in-person exams.
Pose Estimation Module
Advanced technology to track body posture, hand, face, and eye movements for detecting suspicious activity and ensuring fairness.
Real-Time Alert System
An instant notification system to alert proctors whenever suspicious behavior is detected, enabling immediate intervention.
Seamless Integration with Exam Setups
Full compatibility with both online exam platforms and physical CCTV setups, allowing the solution to work in diverse environments.
