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Research And Implementation On Fatigue Driving Detecting System On Intelligent Mobile Terminal

Posted on:2018-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:L LiFull Text:PDF
GTID:2382330542478191Subject:Engineering
Abstract/Summary:PDF Full Text Request
According to the related research of the traffic accidents,it can be found that fatigue driving is an important reason for traffic accidents.At present,there are three kinds of typical method for the detection of fatigue driving,which are the detection method based on the driver’s physiological parameters,the detection method based on vehicle parameters and the detection methods based on computer vision.The detection method based on computer vision is simple and comfort,and it has a certain value of research and promotion.In this method,the reliability and accuracy of driver fatigue detection can be improved by igital image processing technology and pattern recognition technology.So the detection method based on computer vision will certainly become a hot spot in the future.The combination of fatigue driving and Android intelligent terminal is used to develop a system for fatigue driving detection,and this system is based on the openness of the Android platform.This system is a software system which is used to improve the safety of driving.This system includes the alarm of fatigue driving,the detection of driving state,automatic call handling and traffic accident call.In Android platform we analysis the real-time video stream of Android front camera to determine the driver’s state.Firstly we get video from a camera and detect if it contain faces,if the photo has face,we furtherly do the eye detection.According to the analysis of the results of the eye detection,we can get the state of driver.If the driver has fatigue driving,this system will send out sharp alarm to remind the driver to prevent the occurrence of the accident.On the basis of this function,it can realize the function of serious call handling,heavy traffic accident call and so on.In this paper,firstly the implementation scheme of fatigue driving detection system in Android platform is analyzed,and a method of analyzing video data based on appearance based face detection and eye detection is proposed.We calculate the PERCLOS to judge whether the driver is tired or not.and put forward a scheme of traffic accident call,automatic call processing and continuous driving time monitoring.At the same time,we realize a complete software system by the software programming and debugging,which has the function of fatigue driving early warning,driving state detection,automatic call handling,heavy traffic accident call and so on.Because of the hardware equipment,system debugging is run on Redmi Note2.
Keywords/Search Tags:fatigue driving detection, Android, face detection, software design
PDF Full Text Request
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