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Development of queuing system using barcode and facial recognition for Cavite State University -- Main Campus Administration Building / by Cedric D. Coscolluela and Joyce E. Digma.

By:

Coscolluela, Cedric D [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 2016. Cavite State University- Main Campus,Description: xiii, 96 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

371.33 C82 2016

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Engineering and Information Technology (CEIT)

Abstract: COSCOLLUELA, CEDRIC D. and DIGMA, JOYCE E. Development of Queuing System Using Barcode and Facial Recognition for Cavite State University - Main Campus Administration Building. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. April 2016. Adviser: Ms.Ria Clarisse L. Mojica. This study conducted from March 2015 to February 2016 at Cavite State University - Main Campus. The purpose of the study was to develop a queuing system using barcode and facial recognition that would minimize the common problems encountered by the long queue and to have a systemized queuing system. Rapid Application Development Mcthodology was used as the methodology of the system. To implement the facial recognition feature of the system, Viola Jones and Principal Component Analysis Eigen Faces were used. 100 students of Cavite State University evaluated the system. The results were collected through a questionnaire based on ISO 9126. According to the overall evaluation results, the system was judged to be excellent in all aspects such as functionality, reliability, usability, efficiency, and maintainability. Upon the completion of the study, the proponents concluded that this would be a solution for the common problems encountered by the long lines during enrollment.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	371.33 C82 2016 (Browse shelf(Opens below))		Link to resource	Room use only	T-6515		00010699

Thesis (BS Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

COSCOLLUELA, CEDRIC D. and DIGMA, JOYCE E. Development of Queuing System Using Barcode and Facial Recognition for Cavite State University - Main Campus Administration Building. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. April 2016. Adviser: Ms.Ria Clarisse L. Mojica.

This study conducted from March 2015 to February 2016 at Cavite State University - Main Campus. The purpose of the study was to develop a queuing system using barcode and facial recognition that would minimize the common problems encountered by the long queue and to have a systemized queuing system.

Rapid Application Development Mcthodology was used as the methodology of the system. To implement the facial recognition feature of the system, Viola Jones and Principal Component Analysis Eigen Faces were used. 100 students of Cavite State University evaluated the system. The results were collected through a questionnaire based on ISO 9126.

According to the overall evaluation results, the system was judged to be excellent in all aspects such as functionality, reliability, usability, efficiency, and maintainability. Upon the completion of the study, the proponents concluded that this would be a solution for the common problems encountered by the long lines during enrollment.

Submitted copy to the University Library. 02/14/2017 T-6515