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online-proctor-exam-system's Introduction

๐Ÿ“š Online Proctor Exam Monitoring System

๐Ÿ“ข Introduction

Welcome to the Online Proctor Exam Monitoring System! ๐ŸŽ‰ This system is designed to uphold the integrity of online exams by actively monitoring examinee behavior and detecting any suspicious activities. Leveraging advanced computer vision techniques, this system tracks facial movements and environmental factors to ensure a fair and secure examination environment. ๐Ÿง ๐Ÿ’ป

๐ŸŒŸ Features

๐Ÿ‘๏ธ Facial Recognition and Tracking

  • Blink Tracking: Monitors blink frequency to gauge examinee engagement. ๐Ÿ‘€
  • Eye Tracking: Tracks eye movements to ensure focus on exam content. ๐Ÿ“˜
  • Mouth Open/Close Detection: Identifies excessive mouth opening, potentially indicating cheating attempts. ๐Ÿ‘„๐Ÿšซ
  • Unauthorized Person Detection: Alerts if an unauthorized person is detected in the exam vicinity. ๐Ÿšท

๐Ÿ  Environmental Monitoring

  • Phone Detection: Alerts if a mobile phone or electronic device is detected nearby. ๐Ÿ“ฑโš ๏ธ

โš ๏ธ Real-time Alerts

  • Alerts and Beeps: Instant alerts and auditory signals notify administrators of suspicious activities for prompt intervention. ๐Ÿšจ๐Ÿ””

๐Ÿ› ๏ธ How to Use

  1. Setup: Configure system settings to match exam requirements and environment. โš™๏ธ
  2. Start Monitoring: Launch the monitoring system and initiate the exam session. ๐ŸŽฌ
  3. Monitor Alerts: Keep an eye on real-time alerts and auditory signals generated by the system. ๐Ÿ‘‚
  4. Review Reports: After the exam, review generated reports to analyze any detected anomalies. ๐Ÿ“Š

๐Ÿ–ฅ๏ธ Technologies Used

  • Mediapipe: Utilized for facial recognition and tracking, including blink, eye, and mouth detection. ๐Ÿง 
  • YOLO (You Only Look Once): Used for phone detection and environmental monitoring. ๐Ÿ“ฑ

โš™๏ธ Configuration

  1. Customize settings in the configuration file to adapt the system to specific exam conditions. ๐Ÿ“
  2. Adjust thresholds for parameters like blink frequency, mouth openness, etc., as needed. ๐Ÿ“ˆ
  3. Configure alert preferences such as email notifications or log file recording. ๐Ÿ“ง

๐Ÿ”ฎ Future Scope

  • Enhanced Detection Algorithms: Improve the accuracy of facial recognition and environmental monitoring. ๐Ÿงฌ
  • Multi-Language Support: Add support for various languages to make the system globally accessible. ๐ŸŒ
  • AI-Driven Insights: Incorporate AI to provide detailed insights and suggestions based on exam behavior. ๐Ÿค–
  • Integration with LMS: Seamlessly integrate with Learning Management Systems (LMS) for a unified experience. ๐ŸŽ“
  • Mobile App: Develop a mobile app for on-the-go monitoring and alerts. ๐Ÿ“ฒ

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