Tripathy, Birendra Nath and Dash, Abinash (2012) Prototype Drowsiness Detection System. BTech thesis.
Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. In this project we aim to develop a prototype drowsiness detection system. This system works by monitoring the eyes of the driver and sounding an alarm when he/she is drowsy.
The system so designed is a non-intrusive real-time monitoring system. The priority is on improving the safety of the driver without being obtrusive. In this project the eye blink of the driver is detected. If the drivers eyes remain closed for more than a certain period of time, the driver is said to be drowsy and an alarm is sounded. The programming for this is done in OpenCV using the Haarcascade library for the detection of facial features.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Drowsiness detection, Haar training, Machine learning using openCV , Haar classifiers for face and eye , eye blink detection|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Image Processing|
|Divisions:||Engineering and Technology > Department of Electronics and Communication Engineering|
|Deposited By:||Tripathy Birendra|
|Deposited On:||21 May 2012 15:04|
|Last Modified:||21 May 2012 15:04|
|Supervisor(s):||Pati, U C|
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