Research On Fatigue Driving Monitoring And Early Warning System For High Risk Vehicle Drivers

In recent years,road traffic accidents happen frequently,resulting in significant loss of life and property.Fatigue driving as an important cause of traffic accidents is one of the important directions of intelligent transportation research."Two passengers and one danger",muck,container transport vehicles and other high-risk vehicles have larger volume and longer driving time compared with other motor vehicles.Drivers are more prone to fatigue,and the traffic accidents caused by them are more serious.At present,China has basically realized the dynamic monitoring of high-risk vehicles.However,in the monitoring,the driver's fatigue driving is judged by the built-in timing function of vehicle terminals,and the driving time of vehicles is more than 4 hours,which is identified as fatigue driving.In order to solve this method cannot effectively monitor,on the same vehicle configuration more than drivers ignore individual difference of fatigue and fatigue driving regulatory lag problem,this paper studies on vehicle driver fatigue risk monitoring and early warning system,the use of video image by PERCLOS method combined with the continuous running time of the vehicle driver fatigue monitoring of the warning by sound.The system is divided into three parts: vehicle monitoring,central monitoring platform and wireless data transmission.4G network card and WiFi transmission technology are used for wireless data transmission.Using the camera to detect the driver's fatigue by detecting the closed state of the human eye and warning the driver with sound in the vehicle monitoring terminal.Vehicle monitoring hardware includes camera,vehicle terminal and sound alarm device.This paper,based on video image processing,uses the Haar classifier in OpenCV to detect the driver's face and human eye.Based on the PERCLOS fatigue detection algorithm,the driving fatigue detection method of "double eye detection and single eye fatigue discrimination" is proposed.The driving fatigue detection simulation program is designed by C++ programming language under the Visual Studio integrated development environment of PC.The driver's face detection,eye closed state detection,driving fatigue detection and fatigue state warning are realized by entering the driver's simulated driving fatigue video.The central monitoring platform converged on the monitoring data of the vehicle terminal,and constructed the central monitoring platform by using cloud computing technology.The overall topology,logic and physical architecture of the central monitoring platform are presented in this paper.The design and construction points of the virtual resource pool,security system and cloud resource management of the monitoring platform are studied,and the database is designed.The monitoring platform has the functions of fatigue monitoring and early warning,video viewing,vehicle and driver management,data sharing and so on.The cloud computing architecture overcomes the complexity,redundancy,repetition and low efficiency of the traditional IT architecture,and realizes the simplicity,flexibility,reuse and efficiency of the monitoring platform.This study can effectively reduce the traffic accidents caused by fatigue driving,vehicle transportation enterprises improve the high-risk driving fatigue monitoring level,the traffic administrative department of the supervision level and ensure traffic participants' safety of life and property,which can provide reference for the construction of the vehicle driver fatigue risk monitoring and early warning system.