000			02785nam a22002897a 4500
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008			220623b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TL 272.53 _bV55 2018
100			_aVillanueva, Jan Ross A., author. _95650
245			_aMonitoring System for Overspeeding Vehicles Using Computer Vision Technology / _cJan Ross A. Villanueva and Margie M. Presidente.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2018
300			_axii, 56 leaves : _billustrations ; _c28 cm
500			_aDesign Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504			_aIncludes bibliographical references and appendices.
520			_aVILLANUEVA 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.
650			_aComputer vision. _95544
650			_aAutomated traffic monitoring system. _95651
650			_aSpeed estimation. _95652
650			_aVideo signal processing. _95653
700			_aPresidente, Margie M., author. _95654
700			_aNabablit, Karlo Jose E., adviser. _95655
700			_aAclan, Allen Paul K., critic. _95548
942			_2lcc _cT/M/D _hTL 272.53 _iV55 2018 _kUM
999			_c1775 _d1775