Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2825
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dc.thesis.supervisorKodikara, N.D. (Prof.)-
dc.contributor.authorChandana, K.W.S.-
dc.date.accessioned2014-10-30T06:56:17Z-
dc.date.available2014-10-30T06:56:17Z-
dc.date.issued2014-10-30-
dc.identifier.urihttp://hdl.handle.net/123456789/2825-
dc.description.abstractDrowsiness 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.isoen_USen_US
dc.titleDrowsy driver warning system based on smart phoneen_US
dc.typeThesisen_US
Appears in Collections:Master of Computer Science - 2014

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