| 000 -LEADER |
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| fixed length control field |
01716nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210806b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--AUTHOR |
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| Author |
ADEMUWAGUN, Oluwaseyifunmi Temitope |
| 245 ## - TITLE STATEMENT |
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| Title |
An Online Attendance System Using Computer Vision with Face Detection and Recognition |
| 250 ## - SUPERVISOR |
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| Supervisor |
Dr. OKUNOYE, B. O. |
| 260 ## - IMPRINT |
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| Place of publication |
Ibafo |
| Department (College) |
Computer Science and Mathematics |
| Date of publication |
2020 |
| 300 ## - COLLATION |
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| Pagination |
x,; 50p. |
| Other physical details |
dia, tables |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Over the last ten years, face recognition has become a common field in computer vision science<br/>and one of the most promising image processing and comprehension applications. This project<br/>is based on the implementation of computer vision for an Electronic Attendance System using<br/>automatic face recognition technologies as a form of biometrics. Face recognition based<br/>attendance system is a process of identifying the students face for taking attendance.<br/>The aim of this project is to create an efficient and reliable facial recognition software that<br/>would be able to detect a person with high accuracy. A large amount of algorithms and<br/>techniques have been developed for improving the performance of face recognition but the<br/>concept to be implemented here is Deep Learning. It helps to transform the frames of the video<br/>into images so that the attendance database can remember the identity of the student.<br/>This project was built using OpenCV (open computer vision) and Python with other frontend<br/>and backend technologies using Pycharm 2019 as the Integrated Development Environment.<br/>The E-attendance system created is useful in helping the school, lecturers and students to keep<br/>accurate records of the attendance properly. |
| 650 ## - TRACINGS |
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| Main Subject |
Computer Science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Students Thesis |
