Raspberry Pi based vehicle driver fatigue detection system

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...

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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