| 000 -LEADER |
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| fixed length control field |
01288nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221017b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--AUTHOR |
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| Author |
NWACHINAEMERE, Chimbunnamu Chimjika. |
| 245 ## - TITLE STATEMENT |
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| Title |
Designing an Attendance System: Using facial recognition for schools and organizations |
| 250 ## - SUPERVISOR |
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| Supervisor |
M. O. Adewole |
| 260 ## - IMPRINT |
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| Place of publication |
Ibafo |
| Department (College) |
Computer science and mathematics |
| Date of publication |
2021 |
| 300 ## - COLLATION |
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| Pagination |
viii; 52pgs. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
An automated attendance management system is with face detection and recognition techniques is presented in this project. With the use of the required system architecture we able to show the work flow in building the system. With the use of specific software like Python 3.7 and Pycharm 2.0.2.1 in the training of the system to recognize faces, and also the REACT for the interface and the front end, PostgreSQL for the database and the FLASK for the back end. With this system it is able to take attendance automatically without human interruption and also update the database. I propose that other researchers work on this project and try to improve in this research for more innovations.<br/>We were able to take attendance of some students with the system, proofing that the system is a working system. <br/> |
| 650 ## - TRACINGS |
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| Main Subject |
Applied Science |
| Subdivision (1st) |
Computer science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Students Thesis |
