Raspberry Pi based vehicle driver fatigue detection system

A driver fatigue detection system technology, applied in radio wave measurement systems, satellite radio beacon positioning systems, measurement devices, etc. Easy installation and good scalability

Inactive Publication Date: 2019-05-07
YANGZHOU UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The detection system based on physiological signal features has high accuracy, but it will affect the driver's driving due to the contact between the sensor and the driver; the detection system based on behavioral characteristics will not affect the driver's driving, but is affected by the driver's personal habits, driving speed, Influenced by the road environment, the detection accuracy is not high

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  • Raspberry Pi based vehicle driver fatigue detection system
  • Raspberry Pi based vehicle driver fatigue detection system
  • Raspberry Pi based vehicle driver fatigue detection system

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Embodiment Construction

[0053] Such as figure 1Shown is a vehicle driver fatigue detection system based on Raspberry Pi, including an information collection module, a control processing module, a GPRS transmission module, an early warning module, and a cloud connected in sequence;

[0054] The information collection module includes the user's heart rate collection module, image recognition module, EEG module, and Beidou positioning module; the heart rate collection module is used to collect the user's heart rate; the image recognition module is used to collect the user's facial features and behavior; EEG collection The module is used to collect the user's EEG signal to obtain its concentration; the Beidou positioning module is used to collect the user's location information and driving time.

[0055] The control processing module uses Raspberry Pi 3B+, which is used to judge the user's fatigue state based on the heart rate, facial features, behavior, EEG, and driving time collected by the signal sour...

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Abstract

The invention discloses a raspberry Pi based vehicle driver fatigue detection system. The system includes an information acquisition module, a control processing module, a GPRS transmission module, anearly warning module and a cloud; the information acquisition module includes a heart rate acquisition module, an image recognition module, an electroencephalogram module and a Beidou positioning module; the control processing module selects raspberry Pi 3B+, is connected to the information acquisition module through USB, Bluetooth and other modes, is connected to the GPRS transmission module through a USB to RS232 serial port line, and is connected to the early warning module through an HDMI, a USB interface, a GPIO interface or an audio output interface; the GPRS transmission module selectsan SIM800C module; the early warning module includes a display module, a vibration module and a voice module; and the cloud is used for realizing the concentration, classification and storage of driver information. The system has advantages of multidirectional detection, low power consumption, high system accuracy and high effectiveness; and a fatigue driving comprehensive evaluation system can be well established, so that safety of life and property of drivers can be guaranteed.

Description

technical field [0001] The invention relates to a driving detection system, in particular to a fatigue driving detection system. Background technique [0002] With the development of social economy and the increasing number of motor vehicles, fatigue driving has always been one of the important factors affecting driving safety. According to the statistics of my country's transportation department, traffic accidents caused by fatigue driving account for about 20% of total traffic accidents, 40% of serious traffic accidents and 83% of traffic deaths, among which, the proportion of accidents caused by driver fatigue driving is as high as 73%. . At present, the main method of driving behavior detection is to detect some specific indicators of the driver's physiology and psychology during driving. Therefore, in order to reduce traffic accidents caused by fatigue driving and protect people's personal safety, effective vehicle-mounted systems are studied to detect in real time The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/18A61B5/0476G01S19/42
Inventor 杨冬晗张正华胡新盛李斌曾心远丁敏
Owner YANGZHOU UNIV
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