Development of CTFR : Contact Training Using Facial Recognition / Marc Rovic R. Baja, James B. Dela Peña, Christian R. Olandesca, Yeoj D. Serrano.

By:

Baja, Marc Rovic R

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2022Description: x, 104 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

LOC classification:

BTH QA 76 B35 2022

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2022 Abstract: "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

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Holdings
Item type	Current library	Shelving location	Call number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 B35 2022 (Browse shelf(Opens below))	Not for loan	For Room Use Only		BTH0005293

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2022

Includes bibliographical references.

"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

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