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A fatigue detection method and system based on image processing

A fatigue detection and image processing technology, applied in the field of transportation, can solve the problems of general accuracy and practicability, high cost, and large driver dependence

Inactive Publication Date: 2019-01-25
HEFEI NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] There are many existing driver fatigue detection methods. The detection method based on physiological signals uses EEG, ECG, EMG, breathing and other information. High staff dependence, poor real-time performance and high cost
The detection method based on the control behavior needs to detect the driver's various operations such as changes in the steering wheel, accelerator, and brakes.

Method used

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  • A fatigue detection method and system based on image processing
  • A fatigue detection method and system based on image processing
  • A fatigue detection method and system based on image processing

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Embodiment 1

[0058] figure 1 It is a flow chart of the steps of the fatigue detection method based on image processing involved in the present invention;

[0059] figure 2 It is a specific flow chart of the fatigue detection method based on image processing involved in the present invention.

[0060] Such as figure 1 and figure 2 As shown, the present embodiment provides a fatigue detection method based on image processing, including: step S1, face detection; step S2, image processing; step S3, data processing; and step S4, fatigue detection; , image processing, data processing, and fatigue detection cooperate with each other to realize fatigue detection based on image processing.

[0061] In this embodiment, the method for face detection in the step S1 includes: using the OpenCV library to train a cascade classifier and perform face detection to obtain a driver's face image, and the cascade classifier includes a data set Prepare and run the two parts of the training program, that i...

Embodiment 2

[0077] On the basis of embodiment 1, present embodiment 2 also provides a kind of fatigue detection system, comprises: face detection module, image processing module, data processing module connected in sequence; Wherein said face detection module is suitable for utilizing OpenCV library to train the cascade classifier and perform face detection to obtain the driver's face image; the image processing module is suitable for grayscale processing, binarization processing and human eye detection on the face image to obtain Eye image; the data processing module is suitable for checking the legitimacy of the human eye image, counting the eyelid opening degree within a preset period of time, and calculating the maximum normal eyelid opening degree; and the fatigue detection module is suitable for short-term fatigue of the driver and chronic fatigue.

[0078] In this embodiment, the fatigue detection system further includes: a state display module, which is suitable for displaying the...

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Abstract

The invention relates to the technical field of traffic, in particular to a fatigue detection method and system based on image processing. The fatigue detection method based on image processing comprises the following steps: Step S1, face detection; Step S2, image processing; Step 3, data processing; and step S4, fatigue detection. Through cooperation of the face detection, image processing, dataprocessing, and fatigue detection, fatigue detection based on image processing is realized.

Description

technical field [0001] The invention relates to the technical field of traffic, in particular to an image processing-based fatigue detection method and a system thereof. Background technique [0002] At present, with the rapid development of social economy and the continuous acceleration of urbanization, the number of car users is increasing year by year, and the road traffic safety situation is deteriorating. The number of road traffic accident deaths in my country exceeds 60,000 people every year, and the average daily death toll exceeds 165. , ranks among the top in the world. According to the "National Road Traffic Accidents in 2016" issued by the Traffic Management Bureau of the Ministry of Public Security, in 2016, there were 212,846 road traffic accidents involving casualties, resulting in 63,093 deaths, 226,430 injuries, and direct property losses of 1.21 billion yuan. It can be seen that the problem of road traffic safety has seriously affected economic development ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V20/597
Inventor 汪中施培蓓郭玉堂谢飞薛仁杰
Owner HEFEI NORMAL UNIV
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