| 驾驶员疲劳检测系统设计 |
| |
| 引用本文： | 颜伟,王海涛,黄斌,宿海燕.驾驶员疲劳检测系统设计[J].应用声学,2017,25(3):43-47. |
| |
| 作者姓名： | 颜伟 王海涛 黄斌 宿海燕 |
| |
| 作者单位： | 南京航空航天大学 自动化学院,南京 211016,南京航空航天大学 自动化学院,南京 211016,南京航空航天大学 自动化学院,南京 211016,山东烟台通用照明有限公司,山东 烟台 264006 |
| |
| 基金项目： | 江苏省重点研发(社会发展)项目(BE2015725)；国家质量监督检验检疫总局公益性行业科研专项(2015424068)；烟台开发区科技发展计划项目(201416)。 |
| |
| 摘 要： | 以DM642为主控芯片设计了一套驾驶员疲劳检测的硬件系统,包括主控器模块、视频采集模块、视频输出模块和报警模块等相关电路；综合国内外的研究现状,确定了了疲劳状态判断的理论基础；交叉运用图像处理技术、人脸检测技术和PERCLOS疲劳检测方法,根据眼睛的疲劳特征,实时判断驾驶员的疲劳状态,进行报警,有效防止交通事故的发生；经过对系统的软硬件测试,结果表明,该方案可以有效地识别出驾驶员的疲劳状态,运行速度快、实时性好,具有较高的鲁棒性。
|
| 关 键 词： | 疲劳检测 DM642 机器视觉 图像处理 |
| 收稿时间： | 2016/10/28 0:00:00 |
| 修稿时间： | 2016/11/25 0:00:00 |
Design of Driver Fatigue Detection System |
| |
| Yan Wei,Wang Haitao,Huang Bin and Su Haiyan.Design of Driver Fatigue Detection System[J].Applied Acoustics,2017,25(3):43-47. |
| |
| Authors: | Yan Wei Wang Haitao Huang Bin and Su Haiyan |
| |
| Institution: | College of Automation Engineering, Nanjing University of Aeronautic and Astronautics, Nanjing 211016, China,College of Automation Engineering, Nanjing University of Aeronautic and Astronautics, Nanjing 211016, China,College of Automation Engineering, Nanjing University of Aeronautic and Astronautics, Nanjing 211016, China and Yantai General Lighting Co., Ltd., Yantai 264006, China |
| |
| Abstract: | A hardware system for driver fatigue detection is designed based on DM642, which includes master controller module, video capture module, video output module, alarm module and other related circuits. Based on the research status at home and abroad, the theoretical basis of fatigue state judgment is determined. The eye fatigue characteristic was combined with image processing technology, face detection technology and PERCLOS fatigue testing method to judge the fatigue state of the driver in real time . If in a state of fatigue, an alarm is issued, which can effectively prevent the occurrence of a traffic accident. After the testing of system hardware and software, The results show that the scheme can effectively identify the fatigue state of the driver, and it has high speed, good real-time and high robustness. |
| |
| Keywords: | fatigue detection DM642 machine vision image processing |
|
| 点击此处可从《应用声学》浏览原始摘要信息 |
| 点击此处可从《应用声学》下载免费的PDF全文 |
|
