Driving detection device and method thereof

Abstract

The invention provides a driving detection device and a driving detection method, and is applicable to a driving traffic tool. The driving detection device comprises an image pick-up unit, a detection unit, a prompting unit and a braking control unit, wherein the image pick-up unit is used for sensing an image, the image at least comprises a driver face image and a behind-vehicle image, the detection unit is used for detecting the face image of a driver for judging whether the driver falls asleep or not, judging whether the driving traffic tool deviates from a lane or not according to the behind-vehicle image, and judging whether at least one too close vehicle exists or not around the driving traffic tool according to the behind-vehicle image, the prompting unit sends a warning signal when the detection unit judges that the driver falls asleep and the driving traffic tool deviates from the lane, and the braking control unit controls the driving traffic tool to brake when no too close vehicle exists behind the driving traffic tool after the prompting unit generates the warning signal. The device and the method have the advantage that warning can be given out in the driving process by aiming at various conditions for preventing the occurrence of various risks.

Description

technical field [0001] The invention relates to a driving detection device and its method, which can be used for driving detection and image detection behind the vehicle while driving a vehicle to determine the driving state and whether it constitutes dangerous driving, so as to control the vehicle to perform automatic driving. Braking and satellite positioning records. Background technique [0002] In the car imaging system, a lens is often installed in the car to detect the driver's facial image, such as head sway, eye opening and closing, etc., to detect and judge whether the driver is inattentive driving, fatigue driving, drunkenness, etc. When the situation of driving and alternative driving occurs, if there is, the driver will be awakened by a warning device such as a buzzer. [0003] However, judging whether the driver is tired or asleep only by the lens is easily affected by factors such as glasses and shooting angles. It is based on the previous technology that is ...

AI Technical Summary

Problems solved by technology

[0005] However, in the implementation methods disclosed in the prior art, multiple lenses must be used to detect the individual situations of multiple images inside and outside the car. In addition to installing multiple lenses for detection, the required cost is also too high to meet the needs of consumers. Actual needs, in addition, the buzzer is used for warning, which can easily frighten the sleeping driver and increase the occurrence of accidents

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