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Title: Drowsy and Distracted Driver Alert System Using Neural Network

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Title:
Drowsy and Distracted Driver Alert System Using Neural Network
Author Name:
R.Pragadeeswari, Mrs.R.Sugantha Lakshmi
Abstract:
Drowsy Driving-a combination of sleepiness and driving has become a worldwide problem that leads to severe accidents. A real time non-intrusive method for detecting the drowsiness of driver has been described in this project. The system uses the webcam to capture the video images of the driver in order to detect the drowsiness. Computer vision and machine learning algorithms are used to monitor and detect whether the driver is drowsy or not. Visual feature like eye which characterizes the drowsiness of the driver is detected with the help of image processing techniques. In such a case when drowsy is detected, the warning signal is issued to alert the driver. A neural network based algorithm is used to determine the level of drowsiness by measuring the eye opening and closing and warns the driver accordingly.
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