Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology

Abstract

The invention discloses a fatigue driving monitoring, reminding and early warning method and system based on a computer vision technology, and the system comprises a fatigue value real-time monitoring system, a fatigue value automatic reminding system and a fatigue value information early warning system.The fatigue value real-time monitoring system is used for identifying the fatigue characteristic posture of the driver and obtaining a fatigue value grade according to the occurrence frequency of the fatigue feature posture and the driving time; the automatic fatigue value reminding system is used for receiving the fatigue value grade, obtaining real-time position information of the vehicle and reminding a driver of the corresponding grade according to the fatigue value grade; the fatigue value information early warning system is used for receiving the fatigue value grade information and the vehicle real-time position information to obtain a fatigue safety index, obtaining a fatigue road condition cloud picture according to the fatigue safety index, and sharing the fatigue road condition cloud picture to all traffic management departments and all drivers on the expressway for early warning. The condition of fatigue driving on the highway is reduced, and the hazard of traffic safety accidents caused by fatigue driving is reduced.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, in particular to a method and system for monitoring, reminding and early warning of fatigue driving based on computer vision technology. Background technique [0002] Expressways have the advantages of convenience, rapidity, and direct access. The development of cities and the construction of expressways in economic regions have played a decisive role. However, the number of deaths due to traffic accidents has increased year by year, and traffic accidents caused by driver fatigue and other behaviors account for the majority. most. Cars not only bring great convenience to people's travel, especially the continuous development of the logistics industry, the rapid increase in the number of online shoppers, the sharp increase in the frequency and number of purchases, all of which have made the number of vehicles on the highway and the number of vehicles driving The duration has in...

AI Technical Summary

Problems solved by technology

There are two problems in this process: In the process of fatigue driving control, we cannot define the driver's fatigue state. See Article 62 of the "Road Traffic Safety Law Implementation Regulations" "Continuously driving a motor vehicle for more than 4 hours, halfway Driving without stopping for a rest or stopping for a rest for less than 20 minutes is considered fatigue driving

However, at present, the driving recorder in the car and the camera on the highway are still storing and calculating a large amount of invalid data. The existing monitoring methods generally have problems of poor real-time performance and misjudgment, which have great hidden dangers and loopholes.

[0004]Through the above analysis, it can be concluded that the problem of fatigue driving of expressway drivers is relatively serious at present, and the existing monitoring technology is not perfect enough, resulting in insufficient control of fatigue drivers in place

Images