Automobile and driver fatigue early warning detecting method and system for automobile

Abstract

The invention discloses an automobile and a driver fatigue early warning detecting method and system for the automobile. The driver fatigue early warning detecting system comprises a video collecting module, a facial recognition module, an eye detecting module and a judging module, wherein the video collecting module is used for collecting image information of passengers inside the automobile, the facial recognition module is used for processing the image information of the passengers inside the automobile to obtain facial characteristic parameters of a driver and obtaining facial position information of the driver according to the facial characteristic parameters of the driver, the eye detecting module is used for obtaining eye area information of the driver according to the facial position information of the driver and obtaining eye characteristic parameters of the driver according to the eye area information of the driver to detect eye characteristic information of the driver, and the judging module is used for judging whether the driver is in the fatigue state or not according to the eye characteristic information of the driver. According to the driver fatigue early warning detecting system, the driver inside the automobile can be automatically recognized, fatigue processes and movements of different drivers can be studied, the fatigued characteristics of the driver are memorized, and whether the driver is in the fatigue state or not is judged.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a driver fatigue early warning detection system, an automobile with the system and a driver fatigue early warning detection method. Background technique [0002] At present, most of the related products based on eye status on the market are based on the perclos (Percentage of EyeIidCIosure over the PupiI, over Time, a physical quantity to measure fatigue / drowsiness) standard, that is, the percentage of eyelid closure time over a period of time is used as a measure of physical fatigue. Use facial recognition technology to locate the eyes, nose tip and mouth corners, combine the eyes, nose tip and mouth corners, and then obtain the driver's attention direction based on eye tracking, and issue an alarm by judging whether the driver's attention is distracted. Thereby, the purpose of preventing driver's fatigue driving can be achieved. [0003] However, in the related art, only a...

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Problems solved by technology

[0003] However, in the related art, only a person's face is judged in a certain area, but in general, it is impossible to have only the driver in the car, which requires very strict preconditions for fatigue judgment, so it cannot be effectively To achieve the effect of early warning, and there will be misjudgment, which cannot meet the needs of users

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