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Full metadata record
DC Field | Value | Language |
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dc.thesis.supervisor | Kodikara, N.D. (Prof.) | - |
dc.contributor.author | Chandana, K.W.S. | - |
dc.date.accessioned | 2014-10-30T06:56:17Z | - |
dc.date.available | 2014-10-30T06:56:17Z | - |
dc.date.issued | 2014-10-30 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2825 | - |
dc.description.abstract | Drowsiness is one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before an accident happens. Researches have been done to determine driver drowsiness using the several measures like vehicle-based measures, behavioral measures, and physiological measures. In this project it is expected to build a system to detect and warn the driver based on behavioral measures like eye closure of the driver just before fall to sleep. System is based on a smartphone with external IR capable WIFI camera. Drivers who ware spectacles are not considered in this project scope. Main focus on this project is exploring fast real-time algorithms which is suitable for a smart phone which resources may low compared with computers. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Drowsy driver warning system based on smart phone | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Master of Computer Science - 2014 |
Files in This Item:
File | Description | Size | Format | |
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FinalReport.pdf Restricted Access | 1.42 MB | Adobe PDF | View/Open Request a copy |
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