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首页> 外文期刊>WSEAS Transactions on Signal Processing >A Real Time Improved Driver Fatigue Monitoring System
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A Real Time Improved Driver Fatigue Monitoring System

机译：实时改进的驾驶员疲劳监测系统

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摘要

One of the main technical goals in the automotive industry is to provide and increase vehicle safety. The traffic accidents are increasing day by day due to a diminished driver's vigilance level and it became a serious problem for the society. By monitoring the fatigue of the driver, the vehicle safety can be improved. Eye detection is an important initial step in Driver Fatigue Detection System. This feature can be used for developing 'Driver fatigue detection system' by monitoring attention or drowsiness of the driver. Robust non-intrusive eye tracking is a crucial step for vision based man-machine interaction technology which is widely accepted in common environments. Eye detection and tracking is an integral part of attentive user interfaces. To detect human eyes, face has to be detected initially. This is done using Open CV face Haar-cascade classifier. After obtaining successful face detection, the location of the eyes is estimated and eye detection is performed using eye haar-cascade classifier. The work aims at development of a driver safety system with visual aid to prevent accidents. The vehicle is equipped with USB web camera interfaced to the system. Here the camera is used for tracking the eyes of driver to detect fatigue. The driver assistance system unit consists of a BEAGLE BOARD with a DM3730 processor in it. The system runs on an embedded operating system called Angstrom. The system architecture deals with the development of device driver for USB web camera and DM3730 processor in standard Linux kernel. Open CV package is installed to interface USB web camera with the navigation system. Open CV package consists of various image processing functions, which are useful for identification of driver fatigue. Open CV is used as a platform to develop a code for eye detection in real time. The code is then implemented on the Beagle board (Ported with Angstrom Operating System) installed with Open CV software.
机译：汽车工业的主要技术目标之一是提供并提高车辆安全性。由于驾驶员的警惕水平降低，交通事故日益增多，这已成为社会的严重问题。通过监视驾驶员的疲劳，可以提高车辆的安全性。眼睛检测是驾驶员疲劳检测系统中重要的初始步骤。通过监视驾驶员的注意力或睡意，此功能可用于开发“驾驶员疲劳检测系统”。健壮的非侵入式眼动跟踪是基于视觉的人机交互技术的关键步骤，该技术在常见环境中已被广泛接受。眼睛检测和跟踪是殷勤用户界面的组成部分。为了检测人眼，必须首先检测面部。这是使用Open CV face Haar级联分类器完成的。在获得成功的面部检测之后，估计眼睛的位置，并使用眼晕级联分类器执行眼睛检测。该工作旨在开发具有视觉辅助功能的驾驶员安全系统，以防止事故发生。车辆配备了连接到系统的USB网络摄像头。在这里，摄像机用于跟踪驾驶员的眼睛以检测疲劳。驾驶员辅助系统单元包括一个装有DM3730处理器的BEAGLE BOARD。该系统在称为Angstrom的嵌入式操作系统上运行。该系统架构负责在标准Linux内核中开发USB网络摄像头和DM3730处理器的设备驱动程序。已安装Open CV软件包以将USB网络摄像头与导航系统连接。 Open CV程序包包含各种图像处理功能，这些功能对于识别驾驶员疲劳感很有用。 Open CV用作开发实时眼睛检测代码的平台。然后，在安装有Open CV软件的Beagle板（与Angstrom操作系统一起移植）上实现代码。

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