Eye Blink Detection by Image Processing to Prevent Vehicle Accidents

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dc.contributor.authorNimanthils, K.S.H.
dc.contributor.authorAmarasiri, H.A.N.B.
dc.date.accessioned2021-01-07T07:21:34Z
dc.date.available2021-01-07T07:21:34Z
dc.date.issued2018
dc.description.abstractDeaths and injuries due to road traffic accidents are extremely high in Sri Lanka. Detecting the drowsiness of the driver is one of the surest ways of measuring driver's fatigue. Driver's drowsiness is one of the major reasons which leads to these mishaps. This research describes 'Real Time Drowsiness Detection System', which could determine the level of drowsiness of the driver. This system considers both the closing of eyes and opening of the eyes. The eye blink of the driver is detected. If the driver's eye remains closed more than a certain period of time, the driver is said to be drowsy and alarm is sounded. Viola Jones Algorithm and Hough transformation algorithm are used for iris detection. Primary attention is given to faster detection and processing of data. Keywords: Drowsiness, Hough transformation algorithm, Viola Jones algorithm, Eye blinken_US
dc.identifier.isbn9789550481194
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/5557/434-2018-Eye%20Blink%20Detection%20by%20Image%20Processing%20to%20Prevent%20Vehicle%20Accidents.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.relation.ispartofseries;2nd International Research Conference
dc.subjectMechanical Engineeringen_US
dc.subjectInformation Systemen_US
dc.titleEye Blink Detection by Image Processing to Prevent Vehicle Accidentsen_US
dc.title.alternativeInternational Research Conference 2018en_US
dc.typeOtheren_US
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International Research Symposium of UWU-2018