摘要
因疲劳驾驶而引发的交通事故的发生率呈上升趋势,为了保障驾乘者的安全,疲劳驾驶提醒技术受到越来越多的关注。文章主要是通过对驾驶员眼睛状态信息的采集与识别,将识别信息进行提取判断。首先系统判断驾驶员的状态,把信息传递给单片机,由单片机进行分析并处理,发出对应信号控制报警单元,显示屏中红灯亮起且蜂鸣器给予声音警报,以提醒驾驶员。其次系统通过对驾驶员状态的持续提取,来判断其是否恢复正常状态,没有恢复则反复提醒。同时为了提高判断准确性,增加嘴部状态识别,综合判断驾驶员疲劳状态。设计的系统主要由图像采集、电源模块、单片机模块、报警模块四部分组成。
The incidence of traffic accidents caused by fatigue driving is on the rise.In order to ensure the safety of drivers and passengers,fatigue driving reminder technology has received more and more attention.This design mainly extracts and judges the identification information through the collection and identification of the driver’s eye state information.If the system judges that the driver is in a normal state,the system is in a silent state.If the system judges that the driver is in a fatigued state,it will transmit the information to the single-chip microcomputer,which will analyze and process it,and send a corresponding signal to control the alarm unit,and a red light will appear on the display.Comes on and the buzzer gives an audible alert to the driver.If the driver does not return to the normal state,the system will remind repeatedly.At the same time,in order to improve the accuracy of judgment,the system increases the recognition of the state of the mouth,and comprehensively judge the fatigue state of the driver.The designed system is mainly composed of four parts:image acquisition,power module,single chip module and alarm module.
作者
刘佳
Liu Jia(Lanzhou Bowen Institute of Technology,Lanzhou 730101)
出处
《青海科技》
2022年第4期203-208,共6页
Qinghai Science and Technology
关键词
实时监测
疲劳驾驶
人脸检测
眼睛定位
Real-time monitoring
Fatigue driving
Face detection
Eye positioning
作者简介
刘佳(1990-),女,讲师,研究方向:城市道路交通。E-mail:870034595@qq.com。
