Development of CTFR : Contact Training Using Facial Recognition /
Marc Rovic R. Baja, James B. Dela Peña, Christian R. Olandesca, Yeoj D. Serrano.
- x, 104 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)
Thesis (Undergraduate)
College of Science --
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