Driver Drowsiness Alert System
Author(s):
Viddyut H. Khanvilkar , K.J. Somaiya Institute of Engineering and Information Technology; Chaitanya D. Patel, K.J. Somaiya Institute of Engineering and Information Technology; Nasim Shah, K.J. Somaiya Institute of Engineering and Information TechnologyKeywords:
Driver Fatigue, Face Recognition & Detection, Haar CascadeAbstract:
Driver Drowsiness is a grave issue resulting in many road accidents each year. To evaluate the exact number of sleep related accidents because of the difficulties in detecting whether fatigue was a factor and in assessing the level of fatigue is not currently possible. In this paper the camera will be placed besides the rare view mirror of car in way such that it is in clear view of the frontal face of the driver. This camera will continuously capture the video of driver’s frontal face while driving. The system will detect the frontal face in the image and later the eyes. Depending upon the conditions the system will generate an alert. The focus will be on the system that will accurately monitor the open or closed state of the driver’s eyes in real-time. By monitoring the eyes, it is believed that the symptoms of driver fatigue can be detected early to avoid accidents.
Other Details:
| Manuscript Id | : | J4RV2I12015 |
| Published in | : | Volume : 2, Issue : 12 |
| Publication Date | : | 01/03/2017 |
| Page(s) | : | 19-21 |
