International Journal For Multidisciplinary Research

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Portable Driver Monitoring System using Matlab

Author(s) Sandeep, Dr.G.N.Kodanda Ramaiah
Abstract Various investigations show that driver’s drowsiness is one of the main causes of road accidents. The development of technologies for preventing drowsiness at the time is a major challenge in the field of accident avoidance. The advance in computing technology has provided the means for building intelligent vehicle systems. The purpose of this study is to detect the drowsiness in driver’s to prevent the accidents and to improve the safety on the highways.
A system aiming at detecting driver drowsiness or fatigue on the basis of video analysis is presenting. A real time face detection is implemented to locate driver’s face region. A method of detecting drowsiness in drivers is developed by using a camera that points directly towards the face and capture for the video. As a detection method the system uses image processing technology to analyze the images of the driver’s face taken with a video camera. The captured video is done; it is converted into number of frames of images and monitoring of the face region and eyes in order to detect drowsiness. The system is able monitoring eyes and determines whether the eyes are in an open or shows signs of drowsiness. This detection system avoids a noncontact technique for judging various levels of alertness and facilities early detection of a decline in alertness during driving.
Keywords Fatigue Detection, Eye Feature Extraction, ITS, Image Segmentation, MATLAB
Field Engineering
Published In Volume 1, Issue 3, November-December 2019
Published On 2019-11-02
Cite This Portable Driver Monitoring System using Matlab - Sandeep, Dr.G.N.Kodanda Ramaiah - IJFMR Volume 1, Issue 3, November-December 2019.

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