Fatigue driving monitoring device

Abstract

The invention discloses a fatigue driving monitoring device, which comprises an image collecting module, an image processing and identification module, a speed detection module, a control module, a warning module and a storage module, wherein the image processing and identification module receives the human face image information sent by the image collecting module, carries out analysis processing, identifies the human face characteristic information in the images, compares the human face characteristic information with human face image templates in the storage module, and sends image comparison result information to the control module to be analyzed and processed, and signals are sent to the warning module according to the analysis processing results. The fatigue driving monitoring device has the advantages that an image processing and identification mode is adopted for objectively judging whether a driver is in the fatigue driving state or not, the judgment is not up to the subjective consciousness of use personnel or supervisory personnel, whether the driver is in the fatigue driving state or not can be detected as long as the driver generates the fatigue state even within the specified fatigue driving standard time, and in addition, the fatigue driving warning information is sent out for prompting the driver, so the fatigue driving early warning effect can be realized.

Description

technical field [0001] The invention belongs to the field of motor vehicle driving monitoring, and in particular relates to a monitoring device for driver fatigue driving. Background technique [0002] With the development of economy and the progress of society, the number and popularity of automobiles are increasing day by day, and at the same time, the problem of traffic accidents has gradually become prominent. According to the data of the traffic department, traffic accidents caused by fatigue driving account for about 20% of the total number of accidents, and account for more than 40% of serious traffic accidents. [0003] In the prior art, fatigue driving mainly checks the driving record of the driver’s IC check-in or check-in to judge whether the driver is fatigued. Both require a high degree of self-consciousness of the driver and the planning and management of the vehicle manager to play a role. For example, if the driver does not check in on time, checks in on be...

AI Technical Summary

Problems solved by technology

For example, if the driver does not check in on time, checks in on behalf of the driver, or tampers with the driving record, etc., the device will be useless and greatly affect the accuracy of monitoring.

At the same time, due to the differences in personal physique and mental state of different drivers, fatigue driving will also occur within the time standard, and driver fatigue driving within a limited time cannot be detected by existing technologies.

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