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Fatigue driving early warning system based on image processing

A technology of fatigue driving and early warning system, applied in the direction of alarm, instrument, character and pattern recognition, etc., can solve the problems that have not been widely used in daily life, and achieve the effect of convenient storage, accurate recognition results, and narrow recognition range.

Inactive Publication Date: 2020-06-12
SOUTHWEAT UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But in fact, there are certain defects in this system, so that it has not been widely used in daily life.

Method used

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  • Fatigue driving early warning system based on image processing
  • Fatigue driving early warning system based on image processing
  • Fatigue driving early warning system based on image processing

Examples

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Embodiment 1

[0034] A fatigue driving warning system based on image processing. The system includes an acquisition module, a processing module and a display module. The acquisition module records the image of the driver and sends it to the processing module. The image contains the facial features of the driver. The processing module performs human eye positioning on the facial features in the image and obtains the driver's eye feature data, and obtains the eye closure percentage by performing eye closure frequency detection on the eye feature data, and obtains according to the driver's eye closure percentage. The fatigue degree of the driver is displayed through the display module.

[0035] It is worth noting that the human eye average grayscale template is pre-stored in the processing module, and the human eye positioning is realized by matching the driver's eye feature data with the template. The calculation of the human eye average grayscale template includes the following steps:

[003...

Embodiment 2

[0043] In order to realize accurate detection of human eyes, this embodiment only simplifies the image to a partial image containing only human faces, thereby reducing the difficulty of detection. Please refer to Image 6 , In addition, this method can effectively improve the efficiency and accuracy of recognition, making the finally obtained human eye information more reliable. In the detection process, it is necessary to reasonably segment the image to be detected, and obtain the small areas where the human eyes are distributed, and then accurately locate and identify the human eyes in each small area. This precise division method not only narrows the recognition range, but also has higher execution efficiency, and ultimately more accurate recognition results can be obtained.

[0044] The specific calculation process is as follows: 1) First, binarize the face area; 2) Then use the upper and lower edge coordinates of the face area to calculate the width L of the entire area;...

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Abstract

The invention relates to the field of fatigue driving detection. The invention aims to provide a fatigue driving early warning system based on image processing. The system comprises an acquisition module, a processing module and a display module, wherein the acquisition module inputs an image of a driver and transmits the image to the processing module; wherein the image contains facial features of a driver; and the processing module performs human eye positioning on the facial features in the image and acquires eye feature data of the driver, obtains an eye closing percentage by performing closing frequency detection on the eye feature data, obtains a fatigue degree of the driver according to the eye closing percentage of the driver, and displays the fatigue degree through the display module.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a fatigue driving warning system based on image processing. Background technique [0002] Our country started late in driving fatigue detection, and related research could not break through its bottleneck, which led to our country's technology in this field always lagging behind. With the continuous breakthrough and innovation of our country's science and technology, the continuous improvement of economic strength and the continuous development of scientific research capabilities, more and more manpower and material resources have been invested in the development of fatigue driving detection systems, and its research process is approaching that of foreign developed countries. However, due to our country's research on this aspect is limited to the theoretical direction, the practical application is still relatively lacking. [0003] The system developed by American researchers can ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G08B21/06
CPCG08B21/06G06V40/193G06V40/197G06V40/19G06V20/597G06V10/50G06V10/267G06V10/751
Inventor 王琦源黄震孙元杨超印茂伟任珍文
Owner SOUTHWEAT UNIV OF SCI & TECH
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