MARC details
| 000 -LEADER |
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| fixed length control field |
02037nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250715170237.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250715b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH QA 76 |
| Item number |
D45 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dela Peña, Romar N. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Attendify: |
| Remainder of title |
development of facial recognition attendance monitoring system for faculty members using multi-task cascade convolutional neural networks (mtcnn) in computer studies department at tup-manila/ |
| Statement of responsibility, etc. |
Romar N. Dela Peña, John Michael C. Llosa, and Edzel B. Olaer.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 125pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis<br/> |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College Of Science.--<br/> |
| Degree type |
Bachelor of science in computer science: |
| Name of granting institution |
Technological University of the Philippines, <br/> |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
This study introduces Attendify, a system that uses facial recognition to help track<br/>faculty attendance in the Computer Studies Department of the Technological University of<br/>the Philippines-Manila. Using the MTCNN algorithm, the system provides a quick,<br/>accurate and touchless way to replace fingerprint-based identification. The system was<br/>developed using PHP, MySQL, HTML and JavaScript and it utilized the formal steps of<br/>planning, developing, testing and evaluation. The results showed that Attendify was rated<br/>"Highly Acceptable" in ISO 25010 software quality metrics which means it is appropriate,<br/>usable, reliable, secure and efficient. The system solved issues with manual errors and<br/>paperwork, allowing Attendify to grow and be trusted for future improvements in education<br/>attendance systems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Facial recognition |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
MTCNN |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Attendance system |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Llosa, John Michael C. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Olaer, Edzel B. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COS |
| Suppress in OPAC |
No |