Face Eye Biometric Attendance Recognition is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Face Eye Biometric Attendance Recognition Project Details
| Abstract |
With the rapid advancements in the digital world, strong attendance management solutions have become necessary in education, business, healthcare, and governmental fields. Systems based on ID cards, fingerprinting, and manual attendance registers create a number of issues that include time inefficiency, proxy attendance, and human error, as well as a lack of automation and hygiene. Biometric attendance systems that use facial and iris recognition technology have no contact, and are considered secure and automated. This study discusses the system of Face and Eye Biometric Attendance Recognition that applies computer vision, image processing, machine learning, and biometric systems. The system is built to autonomously recognize a person and log attendance in
real time. The system employs complex face recognition technology to recognize individuals and classify them according to their facial features. The system also has eye detection, which is necessary for liveness detection, which increases security and eliminates fake attendance via photos and videos. This study thoroughly evaluates such systems, their architecture, methods, algorithms, implementation, hardware and software, and performance.
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| Reference Paper |
Face And Eye Biometric Attendance Recognition |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Artificial Intelligence & Machine Learning / Computer Vision |
| PDF Download |
Download / View PDF |
| Get Help |
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How to Use This Face Eye Biometric Attendance Recognition Topic
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