A fatigue monitoring method based on two-dimensional human eye recognition
A technology for human eye recognition and fatigue monitoring, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as low environmental requirements, fast recognition speed, and difficulty in training data collection, so as to reduce accident casualties and improve fatigue. Monitoring the effect of speed
Inactive Publication Date: 2019-01-08
NANJING UNIV OF POSTS & TELECOMM
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[0006] The purpose of the present invention is to solve the problems existing in the prior art, and provide a fatigue monitoring method based on two-dimensional human eye recognition, through which the human eye recognition algorithm has low environmental requirements in the human eye recognition process, fast recognition speed, and High rate; the facial feature point estimation algorithm does not require a large number of data sets for training, which solves the difficult problem of training data collection
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[0039] The technical solution of the present invention will be clearly and completely described below, obviously, the described embodiments are only some embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0040] A fatigue monitoring method based on two-dimensional human eye recognition, comprising the following steps:
[0041] (1) Carry out face image acquisition to driver by image acquisition device;
[0042] (2) Carry out human eye recognition and human eye state detection on the image information through the human eye recognition algorithm and the facial feature point estimation algorithm;
[0043] (3) Make a prompt sound according to the state information of the human eye, and send the state information to the App.
[0044] Such as figure 1 As shown, turn o...
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The invention discloses a fatigue monitoring method based on two-dimensional human eye recognition, which can be used for fatigue monitoring in automobiles through a human eye recognition algorithm and a facial feature point estimation algorithm to carry out human eye recognition and human eye state detection on image information. Real-time feedback of driver's driving status and fatigue situationis provided, and the driver's fatigue situation is sent to the App in real time so that family members of the driver can perform fatigue status detection. The method realizes family supervision, real-time reminder, so as to achieve the reduction of accident casualties caused by driver fatigue driving. The method has good effect in recognition rate and safety, and does not need a large amount of face data, so that the fatigue monitoring speed can be greatly improved under the condition of ensuring safety.
Description
technical field [0001] The invention belongs to image processing method technology, in particular to a fatigue monitoring method based on two-dimensional human eye recognition. Background technique [0002] With the continuous progress of society and the urgent requirements for fast and effective automatic identity verification, biometric technology has developed rapidly in recent decades. As an inherent attribute of human beings, with strong self-stability and individual differences, biometric features have become the most ideal basis for automatic identity verification. The current biometric recognition technologies mainly include: fingerprint recognition, retinal recognition, iris recognition, gait recognition, vein recognition, face recognition, etc. Compared with other recognition methods, human eye recognition has been extensively researched and applied because of its direct, friendly and convenient features, without any psychological barriers for users, and easy to b...
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IPC IPC(8): G06K9/00
CPCG06V40/165G06V40/171G06V20/597
Inventor 桂冠杨震黄熙洪盛顾浩
Owner NANJING UNIV OF POSTS & TELECOMM