Fatigue driving detection device and detection method based on machine vision human eye recognition

A technology for fatigue driving and human eye recognition, applied in instruments, sensors, alarms, etc., can solve the problems of high detection cost and unsatisfactory fatigue detection effect, achieve high-precision positioning and improve insensitivity.

Inactive Publication Date: 2018-01-19
HUNAN UNIV OF SCI & TECH
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  • Abstract
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Problems solved by technology

There is no simple and perfect fatigue detection device and fatigue driving reminder device on the market at home and abroad. The existing fatigue detection devices in foreign countries have high detection costs and the fatigue detection effect is not ideal.

Method used

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  • Fatigue driving detection device and detection method based on machine vision human eye recognition
  • Fatigue driving detection device and detection method based on machine vision human eye recognition
  • Fatigue driving detection device and detection method based on machine vision human eye recognition

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Embodiment Construction

[0043]The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] Such as figure 1 As shown, a fatigue driving detection device based on machine vision and human eye recognition includes an image acquisition module for acquiring driver images. The image acquisition module includes a camera and an infrared supplementary light, and the camera and the infrared supplementary light are installed Above the windshield, and towards the position of the driver's face; connected with the image acquisition module, the face and eye recognition module for capturing the face and real-time tracking and positioning of the human eyes; connected with the face and eye recognition module, Image processing and feature extraction module for image processing and feature extraction of human eye images; connected with image processing and feature extraction module, fatigue judgment module used to judge whether the driver is fatigued; con...

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Abstract

The invention discloses a fatigue driving detection method based on machine vision human eye recognition. The detection method includes the steps: capturing a human face in a captured image, and tracking and positioning human eyes in real time to obtain a human eye image; processing the human eye image; extracting eye characteristics of a human eye area-of-interest; acquiring human eye characteristics in a waking state, fusing the characteristics according to the acquired human eye height characteristics and human eye blinking frequency characteristics, and judging degree of fatigue; giving analarm for the degree of fatigue. The eye characteristics include the human eye height characteristics and the human eye blinking frequency characteristics. By extracting the eye characteristics of auser, PERCLOS in a detection cycle is calculated and then compared with set PERCLOS, different degrees of fatigue are distinguished according to comparison results, and the user is reminded of two different degrees of fatigue including slight fatigue and severe fatigue. The invention further discloses a fatigue driving detection device based on machine vision human eye recognition.

Description

technical field [0001] The invention relates to a fatigue driving detection device, in particular to a fatigue driving detection device and detection method based on machine vision and human eye recognition. Background technique [0002] According to incomplete statistics, there are at least 100,000 traffic accidents caused by fatigue driving in the world every year, causing direct economic losses as high as 12.5 billion US dollars. Faced with such a severe social reality, some research has been done at home and abroad. There are five main aspects of detection technology, which are based on physiological signals, body responses, manipulation behavior, vehicle behavior, and information fusion. [0003] Fatigue detection methods based on physiological signals usually require the driver to wear corresponding devices (electrodes, EEG caps, etc.) The fatigue change process produces great interference, so it is not suitable for application in actual conditions, and is mostly used...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/18G08B21/06A61B5/00
Inventor 伍济钢聂丹邓寒秋邓运胜王伟罗财
Owner HUNAN UNIV OF SCI & TECH
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