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Detection method and system for fatigue state of driver

A technology for driver fatigue and state detection, applied in the acquisition/recognition of facial features, instruments, characters and pattern recognition, etc., can solve the problems of large amount of calculation, poor real-time performance, and large amount of stored information, and achieves a simple calculation process, satisfying Real-time detection, high accuracy effect

Active Publication Date: 2017-03-08
TENCENT TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

The method of template matching needs to pre-store multiple templates, which has a large amount of stored information and is not easy to promote
The Hough transform ellipse detection method has a large amount of calculation and poor real-time performance
Based on the human eye differential method under infrared light source, the system is complex to build, and it is susceptible to interference from the position of the light source, the angle of irradiation, and the reflection of the human face.

Method used

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  • Detection method and system for fatigue state of driver
  • Detection method and system for fatigue state of driver
  • Detection method and system for fatigue state of driver

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Embodiment Construction

[0060] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0061] The terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily to describe a specific order or sequentially. It is to be understood that the terms so used are interchangeable under appropriate circums...

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Abstract

The invention provides a detection method for a fatigue state of a driver. Confidence coefficients are acquired through calculation by sending eye SIFT features into a classifying model; the opening-closing states of the eyes are determined according to the confidence coefficients without being affected by a human face angle; and the detection method has a rotation invariable property, high accuracy on eye detection, simple calculation process, and can detect the fatigue state of the driver in time and can satisfy real-time detection requirement. In addition, the invention also provides a detection system for the fatigue state of the driver.

Description

technical field [0001] The invention relates to the field of safe driving, in particular to a driver fatigue state detection method and system. Background technique [0002] With the rapid development of the transportation industry, driver fatigue driving has become one of the main reasons for frequent traffic accidents, and drivers often cannot realize that they are in a state of fatigue driving due to the working environment and driving time, which leads to major accidents. The automatic detection of driver fatigue status is an important means to prevent traffic accidents. A large number of experimental data prove that the percentage of eye closure time per unit time has a good correlation with the fatigue degree. Therefore, it is very important to detect the driver's eye status. significance. [0003] In recent years, with the rapid development of image processing and pattern recognition technology, it has become a feasible solution to judge the driver's fatigue status b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/175G06V20/597
Inventor 薛涛桂天宜张红卫
Owner TENCENT TECH (SHENZHEN) CO LTD
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