Passenger vehicle driver fatigue driving state analysis device

Abstract

The present invention provides a vehicle driver fatigue driving state analysis device. The device comprises: a camera used for obtaining the live image of the face of a driver; a host being in signal connection with the camera, wherein the host identifies a human face from the live image by adopting a convolutional neural network to determine whether a driver has dangerous driving behaviors and whether a fatigue expression exists or not; a display screen, wherein the display screen is in signal connection with the host and is used for visually returning the analysis result of the host; and a loudspeaker which is in signal connection with the host and is used for playing voice prompt. Compared with the prior art, the vehicle driver fatigue driving state analysis device has the advantages that: through the convolutional neural network, whether dangerous driving behaviors such as closing eyes, smoking, answering calls and the like exist in a driver or not and whether fatigue expressions exist or not are more efficiently and accurately identified, and display and prompt are performed in time.

Description

technical field [0001] The invention relates to the field of electronic information, in particular to an analysis device based on the driver's fatigue driving state of a passenger vehicle. Background technique [0002] With the sharp increase in car ownership and vehicle travel, traffic safety issues have become increasingly prominent. In order to solve various traffic problems arising from this, the industry began to vigorously develop ITS intelligent transportation system (Intelligent Transportation System). The core technology of ITS intelligent transportation system involves digital signal processing, communication technology, image processing, pattern recognition, artificial intelligence, such as fatigue driving recognition is its typical application. [0003] Fatigue driving is very likely to cause traffic accidents. It refers to the phenomenon that the driver's physiological and psychological functions become imbalanced after driving continuously for a long time, and...

AI Technical Summary

Problems solved by technology

[0005] (1) Uncertainty in the acquisition process of the face image (direction of light, intensity of light, etc.);

[0006] (2) Partial occlusion of the face and hands, the face frame is lost or the recognition rate is low;

[0008] (4) When the face is at a certain angle from left to right and up and down, the face frame is lost or the recognition rate is low;

[0009] (5) When the eyes are in the state of squinting, it will lead to false judgments that the eyes are closed;

[0010] (6) Sunlight shining near the mouth will lead to false detection of smoking

[0011] The above situations are all problems that the prior art cannot solve or are difficult to effectively solve

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