Abstract
This article describes that driving drowsily is an issue that has been troubling various countries for years, and parts of India face compounded risks due to the country's geography and driving style. Driving drowsily is especially dangerous when paired with poor road conditions in rural, mountainous areas. In this paper, fatigue detection of the driver and emergency parking to reduce the number of accidents caused due to drowsy driving, which deals with automatic drowsiness detection using image processing and emergency auto parking of the vehicle. The paper also discussed an algorithm to detect, track, and analyze driver's EAR (eye aspect ratio) associated with facial landmarks.
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 Electronics, Communications, and Measurement Engineering
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.
