Automated Attendance System Using Face Recognition | Mohamed Riham - Final Presentaion.pptx

This file is a final presentation for a project titled "Automated Attendance System Using Face Recognition".

The presenter is Mohamed Ansar Mohamed Riham from Batch: CSD21, and the supervisor is Mr. Mohamed Nismy. The project appears to be a major academic requirement (MSCP ) and was presented on 12/12/2024.





The presentation covers the system's background and motivation (the inefficiency of traditional methods and the need for real-time tracking) , research objectives, methodology (including data collection, model training, and system integration) , and a top-level architecture.





Key project goals included developing an AI-powered face recognition system, automating email notifications to parents for real-time updates, and providing a secure and scalable database.

The system's model evaluation demonstrated an impressive 100% accuracy and a processing speed of 0.0017 seconds per image. The presenter also outlined the challenges faced (environmental variations, balancing speed/accuracy, security) , lessons learned , and future directions such as cloud integration, anomaly detection, multi-camera support, and a mobile application.

1. Automated Attendance System Using Face Recognition 12/12/2024 MSCP 1 Supervisor Name: Mr. Mohamed Nismy Mohamed Ansar Mohamed Riham Batch: CSD21

2. Table of contents Background Research Objectives Methodology Top-Level Architecture Project Timeline Model Evaluation Challenges Lessons Learned Future Directions Conclusion Project Demo 12/12/2024 2

3. Background Information 12/12/2024 bcas 3 Context and Motivation - Traditional attendance systems are time-consuming and error-prone. Safety concerns demand accurate and real-time student tracking. Advances in AI provide efficient solutions for these challenges. Key Problems - Manual attendance is inefficient. Existing solutions lack real-time features and automation.

4. Project Goals - Develop an AI-powered face recognition system for attendance tracking. Automate email notifications to parents for real-time updates. Provide a secure and scalable database solution. 12/12/2024 4 Research Objectives

5. Methodology 12/12/2024 5 Steps Taken - Data Collection: Captured and organized images into labeled datasets. Model Training: Used feature extraction and classification techniques. System Integration: Combined recognition with MySQL database and notification system. Testing and Evaluation: Ensured accuracy, speed, and reliability.

6. Top-Level Architecture 12/12/2024 6 Camera for Face Detection Recognition module Database integration Email System

7. Project Timeline 12/12/2024 7 Completed the Project before the timeline

8. Model Evaluation 12/12/2024 8 Metrics Used- Accuracy: 100% Processing Speed: 0.0017 second/image (depends on image quality ) Insights- Performance under varying lighting conditions. Robustness against facial expressions and angles.

9. Challenges Faced Issues: Environmental variations affecting recognition. Balancing real-time processing with accuracy. Ensuring data security and privacy. Solutions Implemented: Preprocessing techniques for image normalization. Optimized encoding and recognition algorithms. 12/12/2024 9

10. Lessons Learned Key Takeaways: Importance of dataset quality for accurate recognition. Challenges of integrating AI with real-time applications. Value of user feedback during testing and deployment. 12/12/2024 10

11. Future Directions Proposed Enhancements: Cloud Integration: For scalability and centralized data access. Anomaly Detection: To identify suspicious or unexpected attendance patterns. Multi-Camera Support: For larger classrooms. Mobile Application: For added flexibility and convenience. 12/12/2024 11

12. Conclusion Project Summary- Successfully implemented an automated attendance system using face recognition. Enhanced safety and administrative efficiency through AI. Demonstrated the potential of smart educational technologies. 12/12/2024 12

13. Project Demo 12/12/2024 13

14. Thanks! Do you have any questions? 12/12/2024 14