| 000 | 01950nam a22002897a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20240820145410.0 | ||
| 008 | 240820s2024 ph ||||| abm| 00| 0 eng d | ||
| 040 |
_aTUPM _beng _cTUPM _erda |
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| 050 |
_aBTH QA 76 _bB35 2022 |
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| 100 | _aBaja, Marc Rovic R. | ||
| 245 |
_aDevelopment of CTFR : _bContact Training Using Facial Recognition / _cMarc Rovic R. Baja, James B. Dela Peña, Christian R. Olandesca, Yeoj D. Serrano. |
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| 264 |
_aManila : _bTechnological University of the Philippines, _c2022. |
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| 300 |
_ax, 104 pages : _billustrations ; _c29 cm. + _e1 CD-ROM (4 3/4 in.) |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 500 | _aThesis (Undergraduate) | ||
| 502 |
_aCollege of Science -- _bBachelor of Science in Computer Science, _cTechnological University of the Philippines, _d2022 |
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| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _a"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 | _aDela Peña, James B. | ||
| 700 | _aOlandesca, Christian R. | ||
| 700 | _aSerrano, Yeoj D. | ||
| 942 |
_2lcc _cBTH COS _n0 |
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| 999 |
_c28903 _d28903 |
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