Drowsy Driver Detection System: A Novel Approach Using Haar Like Features
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2012, Vol 2, Issue 4
Abstract
There are many instances of road accidents round the world due to driver’s lack of attention in driving. One of the prime reasons can be drowsiness. In this paper, a drowsiness detection system using Haar like feature technique is implemented for eye detection and a simulator for testing the system was built. An audible alert is connected with the system to acknowledge the drowsiness of the driver. A simulator is made by SDL (Simple Direct Media Layer) which is a cross platform multimedia development API library to provide low level access to joystick, mouse, etc. Whenever the driver is outside the lane in the simulator then also it generates an audible warning signal.
Authors and Affiliations
Manoj Kateja
Keywords
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- EP ID EP130650
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