MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01950nam a22002897a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240820145410.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240820s2024 ph ||||| abm| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
TUPM |
| Language of cataloging |
eng |
| Transcribing agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH QA 76 |
| Item number |
B35 2022 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Baja, Marc Rovic R. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Development of CTFR : |
| Remainder of title |
Contact Training Using Facial Recognition / |
| Statement of responsibility, etc. |
Marc Rovic R. Baja, James B. Dela Peña, Christian R. Olandesca, Yeoj D. Serrano. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila : |
| Name of producer, publisher, distributor, manufacturer |
Technological University of the Philippines, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 104 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
29 cm. + |
| Accompanying material |
1 CD-ROM (4 3/4 in.) |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thesis (Undergraduate) |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Science -- |
| Degree type |
Bachelor of Science in Computer Science, |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2022 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
"The objective of the "CTFR: Contact Tracing using Facial Recognition" system is to develop a mobile and desktop application for contact tracing inside university campuses. The system was designed to register the user’s data that will be logged by the software using facial recognition. The contact tracing system greatly helps in keeping health protocols, raise awareness, and ease in identifying individuals, especially those who are COVID-19 infected. It was developed using Electron, HTML, CSS, MongoDB, Python, and JavaScript programming language. The system was evaluated according to ISO 25010 qualities by a total of 31 respondents. Based on the results of the conducted evaluation, the developed system named “CTFR” gained an overall mean of 3.55 with an adjectival rating of “Highly Acceptable.” -- Author's Abstract |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dela Peña, James B. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Olandesca, Christian R. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Serrano, Yeoj D. |
| 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 |