首页|基于计算机视觉的疲劳驾驶预警系统的实现

基于计算机视觉的疲劳驾驶预警系统的实现

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疲劳驾驶极大地降低了驾驶人员的反应能力和判断力,成为交通安全的重大隐患.针对疲劳驾驶预警存在的不足,采用三层体系架构,设计与实现了基于计算机视觉技术的疲劳驾驶预警系统.首先,检测道路两侧的车道线,根据行车方向与车道方向的夹角变化,实现了车道偏移预警;其次,检测眼部特征关键点,根据眼部闭合时间长短,实现了闭眼疲劳预警;再次,检测嘴部特征关键点,根据嘴部纵横比的变化,实现了哈欠疲劳预警;最后,根据历史疲劳驾驶数据,实现了对车辆疲劳驾驶行为的预测.通过该系统的使用,可以实现对疲劳驾驶行为的预警,有效提高行车安全和减少交通事故风险.
Implementation of fatigue driving warning system based on computer vision
Fatigue driving greatly reduces the reaction ability and judgment of drivers,and becomes a major hidden danger to traffic safety.Aiming at the shortcomings of fatigue driving warning,this paper design and implement a fatigue driving warning sys-tem based on computer vision technology using three-tier system architecture.Firstly,the lane markings on both sides of the road are detected,and lane departure warning is implemented based on the change in the angle between the driving direction and the lane direction;Secondly,key points of eye features are detected,eye fatigue warning is implemented based on the duration of eye closure;Once again,key points of mouth features are detected,yawning fatigue warning is implemented based on changes in the as-pect ratio of the mouth;Finally,based on historical fatigue driving data,the prediction of vehicle fatigue driving behavior is achieved.Through the use of this system,early warning of fatigue driving behavior can be achieved,so as to effectively improve traf-fic safety and reduce the risk of traffic accidents.

computer visionfatigue detectionearly warning systemface detection

李文全、彭新东、郭润秋

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韶关学院信息工程学院,韶关 512005

计算机视觉 疲劳检测 预警系统 人脸检测

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(22)