Monitoring System for Overspeeding Vehicles Using Computer Vision Technology / Jan Ross A. Villanueva and Margie M. Presidente.
Material type:
TextPublication details: Rosario, Cavite : Cavite State University-CCAT Campus, 2018Description: xii, 56 leaves : illustrations ; 28 cmSubject(s): LOC classification: - UM TL 272.53 V55 2018
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thesis/Manuscripts/Dissertations
|
Cavite State University - CCAT Campus | Thesis/Manuscript/Dissertation | TH | UM TL 272.53 V55 2018 (Browse shelf(Opens below)) | 1 copy | Available | T0004217 |
Browsing Cavite State University - CCAT Campus shelves,Shelving location: TH,Collection: Thesis/Manuscript/Dissertation Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
|
||
| UM TK8315 C39 2017 Development of HandHeld Laser Distance Device with Bluetooth Application / | UM TL 152.4 A43 2004 An improvised universal oil filter remover and installer / | UM TL 152.8 D54 2016 Development of Mobile based Motorcycle Monitoring and Security System / | UM TL 272.53 V55 2018 Monitoring System for Overspeeding Vehicles Using Computer Vision Technology / | UM TL145 E88 2018 Development of Pneumatic Powered Hose Reel with Quick Release Attachment System / | UM TL 151 F74 2018 Development of rotary Injection pump trainer | UM TL152 P37 2018 Development of Portable Air Cleaning System For Gasoline Engine / |
Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
Includes bibliographical references and appendices.
VILLANUEVA JAN ROSS A., PRESIDENTE MARGIE M. Monitoring System for Overspeeding Vehicles Using Computer Vision Technology. Design Project. Department of Engineering. Cavite State University-CCAT Campus, Rosario, Cavite. June 2018. Adviser: Mr. Karlo Jose E. Nabablit. Technical critic: Allen Paul K. Aclan.
The study was conducted from November 2017 until May 2018 to develop a monitoring system for the overspeeding vehicles using computer vision. Specifically, the study aimed to; 1.) design the graphical user interface and physical design of the system; 2.) construct the software and hardware requirements of the speed monitoring system by creating the graphical and logical interface of the system using Tkinter platform in Python; and 3.test the accuracy of computer vision system using t-test method.
In developing the research topic, the developers used a research design which includes initial research and study, planning and initial designing, extensive research for algorithms and functions, assembly and installation, creating of source code, acquiring required materials, testing, debugging and evaluation.
The monitoring system was evaluated by identifying if there is a significant difference between the manual readings of the speedometer and the actual reading of the system. Ten samples were gathered and analysed through T-test method. The researchers got a p-value of 0.101475, indicating that there is no significant difference between the readings of speedometer and the system. This implies that the developed system provides an accurate readings.
There are no comments on this title.
