Abstract
Driver fatigue is the main reason for fatal road ac cidents around the world. In this paper, an efficie nt driver’s drowsiness detection system is designed using yawning detection.Here, we consider eye detection and mouth detection. So tha t road accidents can avoid successfully. Mouth features points are identified using the redness property. Firstly detecting the d river’s face using YCbCr method then face tracking will perform using canny edge de tector. After that , eyes and mouth positions by us ing Haar features. Lastly yawning detection is perform by using mouth geometr ic features. This method is tested on images from v ideos. Also proposed system should then alert to the driver in case of inattention.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Research in Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
