Automatic Vehicle Position alert Scheme using Wireless Network

Abstract

Driver drowsiness is the most critical cause of traffic accidents, thus drowsiness detection play a vital role in preventing traffic accidents. By developing an automatic solution for alerting drivers of drowsing, before an accident occurs, this could reduce the number of traffic accidents. Therefore, this research proposes a real-time detection approach for driver drowsiness. The proposed approach has two phases: gathering information and transferring alert. The role of gathering information phase is to recognize the eye status and then extracts the count of the eyes of the driver. This phase uses IR led’s for detecting eye status that takes captured frames of image as input and then the detected digital signals as output. Next, algorithm is also used to extract the eyes image from the detected counts which will be used as an input for the controller learning phase. The main role of the transferring alert is to classify either the eyes of the driver are closed or opened using Support Vector Machine (SVM). If the result of the classification indicates that the driver’s eyes is closed for a predefined period of time, the eyes of the driver will be considered closed and hence an alarm will be started to alert the driver. The proposed methodology has been tested on available benchmark data. Location values will be stored in microcontroller using Global positioning system, if the driver continuously sleeping engine will be stopped and sends alert message will be sent to authorize person. The controller also sent message if any accident occurs. Thus, it can be concluded that the proposed approach is an effective solution method for a real-time of driver drowsiness detection.