DROWSINESS DETECTION SYSTEM APPLIED ON CAR

Abstract

Drowsy driving often causes serious accidents, affecting both people and economic assets. With the aim of enhancing safe driving experience, reducing traffic accidents and minimizing life loss, the driver monitoring and drowsiness warning system has been attracting a lot of research and promising results. However, current methods often require high-performance hardware and complex computations. Therefore, this study presents an effective and simple drowsiness warning system applied to cars. The system consists of a compact Raspberry Pi embedded computer, a camera placed in front of the driver's position, and a warning speaker. Frames captured from the camera will be analyzed to detect driver's drowsiness and issue timely warning to the driver. In addition, the system's data will be sent and stored on the server, which can be accessed through both mobile app and website platforms. Experimental results show the effectiveness of the proposed model.