Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2825
Title: | Drowsy driver warning system based on smart phone |
Authors: | Chandana, K.W.S. |
Issue Date: | 30-Oct-2014 |
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. |
URI: | http://hdl.handle.net/123456789/2825 |
Appears in Collections: | Master of Computer Science - 2014 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FinalReport.pdf Restricted Access | 1.42 MB | Adobe PDF | View/Open Request a copy |
Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.