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Automated Seminar Attendance System with 2D Facial Recognition

This project integrates off-the-shelf components to automate seminar attendance using facial detection and recognition. The system uses a 5-megapixel camera, pressure mat, Visual Studio, OpenCV, FlyCapture SDK, and PittPatt SDK for pattern recognition. Progress includes system installation in the lab and integration of libraries. Next steps involve prototype development, volunteer recruitment, and system testing. This project serves as a foundation for post-baccalaureate/graduate-level research and development.

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Automated Seminar Attendance System with 2D Facial Recognition

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  1. REU Systems Integration Project:2D Facial Recognition (iAttend) Midterm Project Presentation 7/11/2012 5 Minutes

  2. Project Summary Integrate off-the-shelf components to develop system for automating seminar attendance. The idea is that as a student enters the room facial detection & recognition software is used to extract an image for comparison with images of registered students.

  3. System Components • Camera, 5 megapixel, 1394b • Pressure mat, system trigger, USB • Visual Studio • OpenCV (no face recognition) • FlyCapture SDK (camera software) • PittPatt SDK (Pittsburgh Pattern Recognition)

  4. System Flowchart

  5. Progress • Installed system in lab • Integrated OpenCV, FlyCapture, and PittPatt libraries into single Visual Studio project • Used SDK’s extract/save image when doorway entered

  6. Next Steps • Develop prototype • Find volunteers • Test system

  7. Conclusion Use this project as a starting point for post-baccalaureate/graduate-level research and development?

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