Abstract
Wakefulness of a driver is an extremely important factor that needs to be continuously monitored.. A drowsy driver can be a cause of several mishaps and accidents on highways which could lead to loss of money, physical injuries, and the most important, loss of human life. Drowsiness detection system is a car safety technology that helps to prevent and thus reduce accidents caused by the driver getting drowsy. The system is designed for four-wheeler vehicles (or more) wherein the driver’s fatigue or drowsiness is detected and alerts are generated. The proposed method will use a USB camera that captures the driver’s face and eyes and processes the images to detect the driver’s fatigue. On the detection of drowsiness, the programmed system cautions the driver through an alarm to ensure vigilance. The proposed method consists of various stages to determine the wakefulness of the driver.
Highlights
Drowsiness can be defined as a state or feeling of being lethargic; sleepiness.Losing attention while driving has proven to be a major cause of accidents
Since we have successfully established the fact that drowsiness has been a major cause of road accidents, we have need a solution to it
OpenCV provides a variety of methods to detect faces in images
Summary
Drowsiness can be defined as a state or feeling of being lethargic; sleepiness. Losing attention while driving has proven to be a major cause of accidents. These mishaps can be prevented by the implementation of such a system. This system can provide monitoring of the state of wakefulness of the driver and generate alerts when necessary. In our proposed system we will be making use of image processing techniques since such a system would be easier and more convenient to install. Image processing here involves multiple steps, starting from detection of a face, detection of eye position and its status. Corresponding information relevant to the main problem will be generated and further analytics will be performed to create meaningful data out of it
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