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Design Of Driver Fatigue Detection And Early Warning System

Posted on:2020-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:X Q ChaiFull Text:PDF
GTID:2392330599977335Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
In recent years,with the continuous increase of motor vehicles,road traffic safety issues have become increasingly prominent,fatigue driving has gradually become one of the main factors in traffic accidents.Under the current social background,driver fatigue driving monitoring and early warning system has achieved certain development.With the continuous improvement of wireless communication technology and sensor technology,the fatigue driving monitoring system based on portable wearable equipment has become a research hot spot in this field.The system designed by this method is not limited by time and space,and provide real-time state detection and fatigue warning function for drivers it is of great practical significance for the prevention of traffic accidents.According to the above problems,this thesis designed a fatigue driving monitoring and early warning system with complete functions,the system is embodied in the form of master-slave device,which mainly includes the construction of system hardware platform and software design.The driver's physical parameters are collected from the slave device in real time and transmitting the data to the main device through Bluetooth communication.The main device fuses the data information according to the fatigue driving detection algorithm to determine whether the driver is in a fatigue driving state.If the driver is in fatigue driving,the system starts the Beidou positioning to obtain the driver's position and send relevant alarm information through GSM.this thesis accomplished the hardware circuit design and corresponding software design of the fatigue driving detection system.The system hardware circuit design includes two parts: the master and slave devices.The hardware design of master devices includes: wireless charging management circuit,GSM communication circuit,Bluetooth communication circuit,Beidou positioning system circuit,LCD touch screen interface circuit and other main peripheral function module circuit design.The slave device hardware circuit involves the design of the main function module circuit such as USB charge management circuit,sign signal acquisition circuit,OLED interface circuit and Bluetooth communication.The software of the system completes the corresponding software design of each functional module of the master-slave device.The master device STM32 includes the design of system initialization configuration subroutine,GSM communication subroutine,Bluetooth communication subroutine,LCD touch screen subroutine,SD card information storage subroutine,early warning system subroutine and fatigue detection subroutine.The slave device MSP432 includes system initialization configuration subroutine,Bluetooth communication subroutine,IIC communication subroutine and OLED display subroutine.The system fatigue driving detection algorithm research,through the comparison analysis of the existing detection technology,using improved spatial clustering and threshold discriminant method to achieve fatigue driving detection.In order to ensure the flexibility and accuracy of the system detection,the driver can adjust the threshold according to his own situation,improve the false detection rate caused by individual differences,and enhance the system reliability and applicability.this thesis test the main functional modules of the system and select volunteers for fatigue testing.The results show that the functional modules of the hardware platform of the system are normal,the operation is fast and accurate,and the real-time monitoring of the driver's state can be realized.When the driver's vital signs parameters are abnormal,the system can send out alarm information and push the current position in time.It meets the expected design requirements of the system and has the characteristics of high accuracy,good real-time performance and high reliability.It has good research significance and application prospects.There are 52 figures,6 tables and 77 references in this thesis.
Keywords/Search Tags:sign signal, fatigue detection, spatial clustering, early warning
PDF Full Text Request
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