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Fatigue driving early warning method

A fatigue driving and driver technology, applied in the field of image recognition, can solve the problems of insufficient execution, low detection accuracy, and difficulty in accurately detecting the driver's fatigue state, and achieves the effect of high accuracy and low cost.

Inactive Publication Date: 2018-05-08
XIAN CREATION KEJI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although it is legally stipulated that driving a motor vehicle continuously for more than 4 hours should stop and rest, and the rest time should not be less than 20 minutes, but this kind of actual implementation is insufficient.
Some existing technologies also propose to monitor the driver's physical condition by detecting the driver's pulse, but because the individual differences of the driver are obvious, the detection accuracy is not high, and it is difficult to detect the driver's fatigue state in time and accurately. effect

Method used

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Examples

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Embodiment 1

[0049] Please refer to figure 1 , figure 1 It is a schematic flowchart of a fatigue driving early warning method proposed by an embodiment of the present invention, the method comprising:

[0050] Obtain the characteristic image of the driver in real time;

[0051] Process feature images to obtain driver fatigue;

[0052] If the fatigue degree exceeds the fatigue degree threshold, it is judged that the driver is in a fatigue driving state, and a reminder signal is generated.

[0053] The driver's characteristic image acquisition device in this embodiment may be a camera installed at a specific position in the vehicle, or a driver's terminal device, such as a mobile phone with camera and video functions. For example, the video captured by the camera can be sent to the cloud server through the wireless network, and the video image of the driver on the cloud server is detected, and each frame of image is detected and the features appearing in the image are located. For exampl...

Embodiment 2

[0055] Further, on the basis of the above embodiments, the feature image includes a head image. Accordingly, the feature image is processed, specifically:

[0056] Edge extraction is performed on the head image to extract the driver's head contour information;

[0057] It is judged whether the deviation range between the head contour position and the preset head contour position exceeds the contour deviation threshold within a set time period.

Embodiment 3

[0059] Further, on the basis of the above-mentioned embodiments, please refer to figure 2 , figure 2 It is a schematic flow chart of another fatigue driving early warning method proposed by the embodiment of the present invention; in this embodiment, before obtaining the driver's head image in real time, it also includes: pre-positioning the driver's facial contour position during initial driving , to obtain the facial contour position of the driver in the non-fatigue driving state;

[0060] Set the facial contour position of the driver in the non-fatigue driving state as the preset head contour position.

[0061] Drivers tend to doze off and lower their heads when driving fatigued, and the position of their facial contours is significantly shifted compared with that of non-fatigued driving. The deviation of the facial contour can be determined through the edge extraction of the facial image, and it is also possible to infer whether the driver's facial contour has shifted ...

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Abstract

The invention relates to a fatigue driving early warning method. The method comprises the steps of obtaining a feature image of a driver in real time; processing the feature image to obtain the fatigue degree of the driver; and if the fatigue degree exceeds a fatigue degree threshold, judging that the driver is in a fatigue driving state, and generating a reminding signal. According to the fatiguedriving early warning method, the judgment timeliness of fatigue driving is good; the accuracy is high; timely reminding is performed in fatigue driving; and the driving safety is greatly improved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a fatigue driving early warning method. Background technique [0002] With the rapid development of the transportation industry, the number of road traffic accidents is on the rise. Among them, traffic accidents caused by fatigue driving have always accounted for a high proportion of the total number of accidents, causing huge economic losses and casualties. It is of great significance how to grasp and respond to the driver's mental state in time. [0003] Although it is legally stipulated that driving a motor vehicle continuously for more than 4 hours should stop and rest, and the rest time should not be less than 20 minutes, but this kind of actual implementation is insufficient. Some existing technologies also propose to monitor the driver's physical condition by detecting the driver's pulse, but because the individual differences of the driver are obvious, the detection accu...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G08B21/06
CPCG08B21/06G06V40/171G06V20/597G06V10/50
Inventor 左瑜
Owner XIAN CREATION KEJI CO LTD
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