A Review on Intelligent Transport System using Drowsiness Detection of Driver
Abstract: Driver drowsiness is the major problem in the world, which is leading to numerous road accidents. It affects the human brain which reduces driver capacity on driving for safety. Such factors may increase errors which will leads to more human deaths. Drowsy driver detection system can detect the drowsiness using hybrid features and reduce the accidents based on the status of the driver. The system is developed by collecting the video by camera placed on the dashboard and continuously monitoring driver for different reactions like continuous eye blinking, yawning frequently and also head nodding. Main goal of this system is not to disturb the driver that is to develop a non-intrusive system. The detection system should start when the vehicle starts without the knowledge of the driver and must be able for handling in different condition such as in day, night, with sunglass and without sunglass etc. We have conducted the survey of various designs on drowsiness detection technique to reduce the number of accidents.
Keywords: Drowsiness, Classification, Feature Extraction, Preprocessing
How to Cite?: Sharanabasappa VH, Dr. Suvarna Nandyal, "A Review on Intelligent Transport System using Drowsiness Detection of Driver", Volume 8 Issue 10, October 2019, International Journal of Science and Research (IJSR), Pages: 1210-1214, https://www.ijsr.net/getabstract.php?paperid=ART20202096, DOI: https://dx.doi.org/10.21275/ART20202096