Real time alert system to prevent Car Accident

The use of artificial intelligence to solve a complex problem and to solve a complex issue such as foreseeing and avoiding accidents on roads implies a robust and proven procedure. An effective and proven method is needed to predict and prevent accidents on the road. Artificial vision is an area of artificial intelligence to explain and understand the visual world. With machine vision and Intelligent Transportation Systems (ITS), we can provide drivers with a safety net. These technologies help reduce human error in the automotive industry and provide riders with tools and features to help them avoid serious mistakes and accidents. In this paper we present a Drowsiness Detection System which indicates the drowsiness of the car driver by detecting the drivers face in real time video and considering the various eye landmarks indicates the ratio of each eye telling how much the driver’s eyes are open or close. This system is developed using the state-of-art Computer Vision technology making it easy to implement highly effective. This system is implemented as an Android Application which uses android mobile back camera for recording car driver’s live video and implementing the above developed model to calculate the eye aspect ratio and indicate it along with the eye in the video.