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A Fatigue Detection Method Based on Key Point Information of Eyebrows and Eyes

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

Active Publication Date: 2019-06-14
ROCKET FORCE UNIV OF ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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

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  • A Fatigue Detection Method Based on Key Point Information of Eyebrows and Eyes
  • A Fatigue Detection Method Based on Key Point Information of Eyebrows and Eyes
  • A Fatigue Detection Method Based on Key Point Information of Eyebrows and Eyes

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Embodiment Construction

[0075] Such as figure 1 with 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...

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Abstract

The invention discloses a fatigue detection method based on key point information of eyebrows and eyes, which comprises steps: 1. Acquisition of driver's face image; 2. Acquisition of opening and closing degree between driver's eyebrows and eyes; 3. , Judgment of the driver's fatigue state. The method of the invention has simple steps, combines the feature points of the eyebrows and the eyes to obtain the opening and closing degree between the driver's eyebrows and the eyes, and judges the opening and closing degree between the eyebrows and the eyes to realize the detection of the opening and closing state of the eyes. It can effectively improve the accuracy of the detection of the opening and closing state of the eyes, thereby realizing the accuracy of the detection of the driver's fatigue state, and has strong practicability.

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

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Application Information

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Patent Type & Authority Patents(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 ROCKET FORCE UNIV OF ENG
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