A fatigue detection method based on eyebrow and eye key point information

A technology of fatigue detection and key points, applied in the field of fatigue detection, can solve problems such as fatigue detection function failure, high detection error, and failure to obtain the driver's eye opening and closing status

Active Publication Date: 2019-01-25
中国人民解放军火箭军工程大学
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the driver's eyes are small, that is, when the distance between the upper and lower eyelid edges changes slightly when the eyes are opened and closed, there will be a high detection error, and in severe cases, the driver's eye opening and closing status will not even be obtained, making the fatigue detection function fail

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A fatigue detection method based on eyebrow and eye key point information
  • A fatigue detection method based on eyebrow and eye key point information
  • A fatigue detection method based on eyebrow and eye key point information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] Such as figure 1 and image 3As shown, the device adopted in the method of the present invention includes a microprocessor 1 and a liquid crystal touch screen 7 connected with the microprocessor 1 and a camera 2 for collecting the driver's face image, the input terminal of the microprocessor 1 It is connected with an alarm mode selection button 3, a manual light fill button 4, a manual turn off light fill button 5 and an automatic light fill button 12, and an illuminance sensor 6 for detecting the ambient illuminance of the driving face. The output of the microprocessor 1 The terminal is connected with a voice alarm module 8, a flashing light alarm module 9 and a fill light 10, and it is characterized in that the method comprises the following steps:

[0076] Step 1. Acquisition of the driver's face image:

[0077] Camera 2 collects the driver's face image in the driving process according to the preset sampling time, and the driver's face image in the driving process ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a fatigue detection method based on information of key points of eyebrows and eyes, which comprises the following steps: 1, acquiring a driver's face image; 2, obtaining the opening and close degree between the eyebrows and the eyes of the driver; 3, judging driver fatigue state. The method is used for judging the opening and closing degree between eyebrow and eye, and fordetecting the eye opening and closing state.

Description

technical field [0001] The invention belongs to the technical field of fatigue detection, and in particular relates to a fatigue detection method based on key point information of eyebrows and eyes. Background technique [0002] Vision-based eye opening and closing state detection is a common solution for fatigue driving detection. This solution estimates the driver's fatigue state by analyzing the driver's eye opening and closing state changes within a certain period of time. The key lies in how to accurately detect the driver's blink frequency in real time and reduce the probability of false detection. In the current eye opening and closing state detection method, a more common method is to extract the key points of the upper and lower eyelid edges of the eye, and use the distance change of the key points of the upper and lower eyelids as the state of eye opening and closing. When the driver's eyes are small, that is, when the distance between the upper and lower eyelid e...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/197G06V40/193G06V20/597
Inventor 刘延飞姜柯李琪田琦王忠姚鹏王杰铃
Owner 中国人民解放军火箭军工程大学
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products