A fatigue driving detection device and detection method

Abstract

The invention discloses a fatigue driving detection device and a fatigue driving detection method. The fatigue driving detection device comprises ARM (Advanced RISC Machines) processor equipment, a SD (Secure Digital) card, a USB (Universal Serial Bus) camera, a data line, a heat dissipation fan and an alarming device, wherein the ARM processor equipment further comprises a human face positioning module, a human eye state identification module and a fatigue judging module; the fatigue driving detection device method comprises the following steps: 1, initializing the camera; 2, acquiring an image and transmitting image information to the ARM processor equipment; 3, pre-processing the image; 4, positioning a human face region through a human face characteristic classifier, and positioning a human eye region 5 through a human eye characteristic classifier; 5, detecting the face of a driver to judge whether the driver is at a fatigue state or not; 6, detecting eyes of the driver to judge whether the driver is at the fatigue state or not; and 7, comprehensively judging whether the driver is at the fatigue state or not and starting corresponding alarming. According to the fatigue driving detection device and method disclosed by the invention, pupil and edge regions can be divided very well through adopting an eye region image binaryzation processing method; and compared with detection of a single method, the identification accuracy is higher.

Description

technical field [0001] The invention belongs to the technical field of safe driving of automobiles, and belongs to the technical fields of image processing, pattern recognition, neural network, etc., in particular to a fatigue driving detection system. Background technique [0002] With the rapid development of social economy and the development of transportation industry, the number of cars is also increasing, and the traffic accidents caused by fatigue driving are showing a trend of increasing. In response to this phenomenon, a variety of fatigue driving detection technologies have been produced, which are mainly divided into contact detection and non-contact detection. Contact detection generally measures the driver's electrocardiogram, electroencephalogram, etc. This measurement method will not only hinder the driver's driving operation, but also be costly. When the driver is tired, he will show physiological characteristics such as lowering his head and increasing the ...

AI Technical Summary

Problems solved by technology

Chinese invention patents CN101593425A and CN201681470U have both announced a fatigue driving detection method, and all judge the fatigue state of a person through a single detection of the state of the human eye. Although this single detection method can have certain accuracy in fatigue detection However, it is easy to be affected by factors such as light and whether to wear glasses, resulting in false detection

Among them, the maximum inter-class variance method used in the invention patent CN101593425A is easily affected by eyelashes and is not conducive to iris segmentation

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