REALTIME CLOUD BASED AUTOMOBILE DROWSINESS DETECTION

Abstract

The main objective of this project is to reduce road accidents and save human life. Studies shows that around 25% of all serious accidents are caused because of sleepy drivei. Those who do not take breaks after specific time, especially on long routes run a high risk ol becoming sleepy and drowsy. Alerting the driver is the best way to avoid the road accidents. 1 o achieve this goal, a system is proposed that can detect the drowsiness of a diiver and alert to reduce road accidents and save many lives. There are numerous methods to detect the drowsiness. In this paper, we have used image process approach to detect the diowsiness because image processing techniques are quicker and more accurate in comparison with other techniques. Our System will take images of driver with the help of camera and images processed through the system to analyse the changes that happen in the face of driver and then send alert to driver based on result made from images. Our system is calculated EAR ration using eye landmarks with the help DL1B. We have used speaker and warning light to alert the driver. Our system also has SMS AND EMAIL module, it is used to send alert with last updated or current location to the emergency number set by users