Application to Detect Driver Distraction Using Haar Cascade Method

Road accidents are a terrible fact of life. A traffic collision is usually mentioned in at least one of the daily news reports in Malaysia. The number of victims and damage done can be disastrous depending on the severity of the disaster. Road accidents claim many lives and cause significant property damage. This paper describes an eye-tracking system for the drowsiness detection of a driver. It is based on the application of Haar Cascade algorithm. The system alerts the driver if the drowsiness index exceeds a threshold level. The application was developed that focuses on the eye area, where the system makes a real-time analysis for the user which is the driver.