Automated vehicle monitoring system using plate number recognition camera for Cavite State University Main Campus / by Nigel P. Andam, Christian P. Langit and Raul Roman B. Losabio.
Material type: TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2019.Description: xiv, 91 pages : illustrations ; 28 cmContent type:- text
- unmediated
- volume
- 620.0042 An2n 2019
- College of Engineering and Information Technology (CEIT), Department of Information Technology
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|---|
Theses / Manuscripts | Ladislao N. Diwa Memorial Library Stacks Area 3rd Floor | Non-fiction | 620.0042 An2n 2019 (Browse shelf(Opens below)) | Link to resource | Room use only | T-8606 | 00081042 |
Browsing Ladislao N. Diwa Memorial Library shelves, Shelving location: Stacks Area 3rd Floor, Collection: Non-fiction Close shelf browser (Hides shelf browser)
No cover image available | No cover image available | |||||
155.9 L77 2022 Effects of stress workplace environment to the security personnel job performance in Cavite State University - Main Campus / | 620.0042 An2n 2019 Automated vehicle monitoring system using plate number recognition camera for Cavite State University Main Campus / | FIL HF5635 P34 1996 The Accounting process : principles and problems / | FIL HF5814 M67 1991 Advertising / | QH581.2 B38 1996 The World of the cell / |
Thesis (Bachelor of Science in Computer Science) Cavite State University.
Includes bibliographical references.
College of Engineering and Information Technology (CEIT), Department of Information Technology
ANDAM, NIGEL P., LANGIT, CHRISTIAN P. and LOSABIO, RAUL ROMAN B. AUTOMATED VEHICLE MONITORING SYSTEM USING PLATE NUMBER RECOGNITION CAMERA FOR CAVITE STATE UNIVERSITY MAIN CAMPUS. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. June 2019. Adviser: Ms. Ria Clarisse L. Mojica.
This study was conducted from August 2018 to April 2019 at Cavite State University - Main Campus. The purpose of the study was to recognize the registered and unregistered four-wheeled vehicles entering the University by displaying recognized vehicle’ plate number and information using image processing.
Extreme Programming was used as the methodology of the system. To implement the plate number recognition feature analysis of the system, the OpenALPR Library was used. 25 Instructors from the Department of Information Technology and 5 Security Personnel from Cavite State University evaluated the system. The results were collected through an evaluation form based on ISO 9216.
According to the overall evaluation results, the system was judged to be excellent in all software quality criteria such as functionality, reliability, usability, efficiency, maintainability, and portability. Upon the completion of the study, the proponents concluded that this would help the security personnel from gate 1 recognized the registered and unregistered vehicles that enter the University.
Submitted to the University Library 07/31/2019 T-8606