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http://hdl.handle.net/123456789/5809
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DC Field | Value | Language |
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dc.contributor.author | Ahmad Faiz bin Ahmad | - |
dc.date.accessioned | 2014-03-07T03:28:48Z | - |
dc.date.available | 2014-03-07T03:28:48Z | - |
dc.date.issued | 2014-03-07 | - |
dc.identifier.uri | http://ir.unikl.edu.my/jspui/handle/123456789/5809 | - |
dc.description | Bachelor of Engineering Technology (HONS.) in Mechatronic (Autumotive) | en_US |
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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Eye detection system | en_US |
dc.subject | Side mirror | en_US |
dc.title | Automated Adjustment Side Mirror Using Eyes Detection System by Focusing on Image Processing | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Final Year Project - UniKL MSI |
Files in This Item:
File | Description | Size | Format | |
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Automated Adjustment Side Mirror Using Eyes Detection System by Focusing on Image Processing.pdf | 2.2 MB | Adobe PDF | View/Open Request a copy |
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