Computer Science Final Year Project Evaluation | University of Sindh

Smart Cheating Detection for
Secure Examinations

SecureExam AI connects with security cameras to automatically analyze student behavior, identifying look-aways, phone usage, and whispers in real time.

SYSTEM PREVIEW: REAL-TIME BEHAVIOR SCREENING
SecureExam AI Interface Preview
Automated Tracking

Continuous Student Monitoring

Our system keeps a safe watch over exam activities by analyzing coordinate lines and highlights. It calculates a simple threat value and alerts proctors when attention is needed.

Multi-Student Analytics: Capable of analyzing behavior across multiple camera channels simultaneously.

Risk Thresholds: Flags events into low, medium, and high priority tags for quick checking.

SecureExam Automated Monitoring Guide
SecureExam System Interface Guide
User Console

Adaptive Light & Dark Console Screens

Toggle seamlessly between our proctor light-mode administrative panels and low-contrast dark-mode surveillance camera modules to fit examination room lighting.

Interactive Auditing: View recent logs, filter camera streams by grids, and manage campus access levels.

System Operations

Easy Classroom Monitoring

Help exam supervisors detect suspicious actions in real time.

Behavior & Eye Focus Tracking

Detects when students repeatedly look away from their papers or turn around.

Prohibited Item Detection

Identifies unauthorized objects like mobile phones, smart watches, and books on exam desks.

Human Supervisor Control

Maintains ethics. AI flags suspicious activity and generates logs, while human proctors make the final call to confirm or dismiss incident warnings.