Drowsy Driver Assistant System

Author

ElSabrouty, M. ; Hamdy, A. ; Fawky, A. ; Khalil, S.

Author_Institution

German Univ. in Cairo, Cairo

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

176

Lastpage

180

Abstract

This paper proposes a new approach to help the drowsy drivers on the roads by developing a real time computerized system which has the ability to detect the face and to know the status of the eyes, if the eyes are closed the system strikes out an alarm to alert the driver. We used PCA and skin tone for face detection. For eye detection we used edge detection, wavelets transform and YCbCr transformation. The algorithm performs well regardless the face position, lighting varieties and immune to any distracting noise. The designed algorithm is able to attain 90% accuracy when it was tested on different databases.

Keywords

alarm systems; driver information systems; edge detection; face recognition; principal component analysis; road accidents; road safety; wavelet transforms; PCA; YCbCr transformation; alarm system; drowsy driver assistant system; edge detection; eye detection; face detection; real time computerized system; road accident; skin tone; wavelet transform; Algorithm design and analysis; Eyes; Face detection; Image edge detection; Principal component analysis; Real time systems; Roads; Skin; Testing; Wavelet transforms; Drowsy driver; Principal Component Analysis; YCbCr; edge detection; eye detection; face detection; skin tone; wavelets transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2007 IEEE International Symposium on

Conference_Location

Giza

Print_ISBN

978-1-4244-1835-0

Electronic_ISBN

978-1-4244-1835-0

Type

conf

DOI

10.1109/ISSPIT.2007.4458127

Filename

4458127