Information fusion fatigue driving early warning method, system and device and medium

A technology of fatigue driving and early warning system, applied in the field of vehicle safety, can solve the problems of wrong judgment and easy to be played by others.

Active Publication Date: 2020-08-25
SUZHOU INVO AUTOMOTIVE ELECTRONICS
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  • Abstract
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Problems solved by technology

[0007] d. It is easy to

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  • Information fusion fatigue driving early warning method, system and device and medium
  • Information fusion fatigue driving early warning method, system and device and medium

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Embodiment Construction

[0026] An information fusion fatigue driving early warning method of the present invention comprises the following steps:

[0027] The optical camera module collects video images of the driver, detects whether the driver’s eye features exist in the video image data, and detects whether the eye features are complete. If the driver’s eye features are detected and the eye features are complete, Then, according to the eye features in the collected video image data, fatigue detection based on machine vision is performed to detect whether the driver is driving fatigued, and if the driver is found to be driving fatigued, an alarm will be sent to the driver;

[0028] If no eye features of the driver are detected or the detected eye features are incomplete, the millimeter ratio radar is controlled to emit millimeter waves to monitor the driver's heart rate, and the heart rate data is used to detect whether the driver is driving fatigued. If there is fatigue driving, the driver will be ...

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Abstract

The invention provides an information fusion fatigue driving early warning method, system and device and a medium, which has higher robustness, and stronger capability of overcoming adverse conditions, and is capable of improving accuracy, not affected by weather, suitable for all-weather applications, and suitable for all drivers; video image acquisition is performed on a driver through the optical camera module. Whether eye features of a driver exist in the video image data or not and whether the eye features are complete or not are detected; if it is detected that the eye characteristics ofthe driver exist and the eye characteristics are complete, fatigue detection based on machine vision is conducted according to the collected eye characteristics, and if it is found that the driver istired when driving, an alarm is given to the driver; and if it is detected that the eye features of the driver do not exist or the detected eye features are incomplete, the millimeter-wave radar is controlled to emit millimeter waves to monitor the heart rate of the driver, and through heart rate data detection, if it is found that the driver is tired when driving, an alarm is given to the driver.

Description

technical field [0001] The invention belongs to the field of vehicle safety, and in particular relates to an information fusion fatigue driving early warning method, system, device and medium. Background technique [0002] In the modern society where traffic is advancing rapidly, more and more people are driving. Fatigue driving makes road accidents increase sharply, which brings huge hidden dangers to the safety of people and society. Therefore, it is more and more urgent and important to detect the driver's fatigue level in real time. Although fatigue detection based on machine vision is the mainstream at present, it is also affected by light and individual factors of the driver, so the effect is not very ideal. [0003] The disadvantages of the existing fatigue detection based on machine vision are as follows: [0004] a. If the driver has wide eyes, the camera of the fatigue detection system based on machine vision can easily miss the eyes, causing the system to fail; ...

Claims

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Application Information

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IPC IPC(8): G08B21/06G08B31/00G01S13/88A61B5/024A61B5/11A61B5/00A61B5/18A61B3/11
CPCG08B21/06G08B31/00G01S13/88A61B5/024A61B5/02405A61B5/1103A61B5/1128A61B5/6893A61B5/72A61B5/7235A61B5/18A61B3/112
Inventor 邓博杨平增田悟张小勇
Owner SUZHOU INVO AUTOMOTIVE ELECTRONICS
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