Fatigue monitoring method and device for driver

A driver fatigue and driver technology, applied in the direction of image data processing, instrument, photo interpretation, etc., can solve the problems of driver confusion, restrictions, and the influence of light brightness, so as to improve applicability, improve accuracy, and make up for limitations sexual effect

Inactive Publication Date: 2005-10-12
JIANGSU UNIV
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Problems solved by technology

[0003] However, due to the limitations of the method itself, firstly, it cannot meet the all-weather requirements due to the influence of the brightness of the light, etc., and secondly, in the background technology, the single-frame image of the mouth is recognized. Other actions are confused, and the recognition rate is not high

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  • Fatigue monitoring method and device for driver
  • Fatigue monitoring method and device for driver
  • Fatigue monitoring method and device for driver

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Embodiment Construction

[0032] As shown in the figure, this embodiment is mainly composed of an infrared light source, a CMOS camera, a control board and corresponding software parts. The camera is installed in front of the driver so as not to affect the driver's field of vision. The camera uses CMOS Complementary Metal-Oxide-Semiconductor (Complementary Metal-Oxide-Semiconductor) as the sensor.

[0033] Considering the applicability, the basic physiological characteristics of the human eye are used, that is, the amount of reflection of the retina to different wavelengths of infrared light is different. At 850nm wavelength, it can reflect 90% of the incident light, and at 950nm the retina can only reflect 40% of the incident light. Under the same illuminance, two cameras measure the images of the human eye at the same time, one is an image of 850nm wavelength, the other is an image of 950nm, and the result of subtraction of the two images leaves only the image of the retinal position, and then Then...

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Abstract

A method for monitoring fatigue strength of driver includes shining driver eye with infrared ray to obtain multiimage of different retina image at the same time, carrying out difference processing for collected images to obtain pupil images, using kalmen filter to trace pupil in real - time to obtain pupil characteristic parameter, processing the parameter to obtain maximum value of pupil size and real - time coroclisis percentage of pupil, calculating out PERCLOS value f and using BP network sorter to judge fatigue strength of driver based on obtained value f. The monitoring device is also disclosed.

Description

technical field [0001] The invention relates to transportation engineering, in particular to a driver fatigue monitoring method and device. Background technique [0002] At present, the recognition and monitoring technology for driver's eye fatigue characteristics is mainly based on monitoring the driver's mouth state to understand his behavior status and provide necessary auxiliary information for safe driving. Related documents include Shi Shuming, Jin Bensheng, Wang Rongben, Tong Bingliang, Journal of Jilin University (Engineering Edition), Vol. There is a certain difference in the degree of mouth opening of drivers in the three states of normal driving, talking and yawning (sleeping). According to this feature, the author uses the Fisher classifier to extract the contour and position of the lips, and then uses the geometric features of the lip area as the feature value to form a feature vector, which is used as the input of the three-layer BP neural network to combine n...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C11/06G06T7/20
Inventor 刘志强汪旸
Owner JIANGSU UNIV
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