Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/5809
metadata.fyp.dc.title: Automated Adjustment Side Mirror Using Eyes Detection System by Focusing on Image Processing
metadata.fyp.dc.contributor.*: Ahmad Faiz bin Ahmad
metadata.fyp.dc.subject: Eye detection system
Side mirror
metadata.fyp.dc.date.issued: 7-Mar-2014
metadata.fyp.dc.description.abstract: This paper describes an automatic mirror adjustment system that rotates a pair of side mirrors of a car to the optimal position for a driver by using the midpoint coordinates between the driver's eyes. This system determines the position angle of each mirror on the basis of information from the midpoint coordinates of the eyes and rotates each mirror to the appropriate position. The vision system can detect the driver’s eyes using image captured during daytime A simple calculation system determined the midpoint coordinate between the driver’s eyes This system can adjust side mirrors automatically and rapidly by a simple interface regardless of driver replacement or driver's posture. Experiment has shown this to be a new mirror adjustment system that can make up for the weak points of previous mirror adjustment systems.
metadata.fyp.dc.description: Bachelor of Engineering Technology (HONS.) in Mechatronic (Autumotive)
metadata.fyp.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/5809
Appears in Collections:Final Year Project - UniKL MSI



Items in UniKL IR are protected by copyright, with all rights reserved, unless otherwise indicated.