System and method for driver remote monitoring and driver abnormity early warning

Abstract

The invention provides a system used for driver remote monitoring and driver abnormity early warning. The system comprises a video detecting machine used for detecting and judging the sight direction of a driver and a GPS / big dipper double-module receiver used for detecting the position of a motor vehicle and the running speed of the motor vehicle. The output end of the video detecting machine and the output end of the GPS / big dipper double-module receiver are electrically connected with the input end of a processor used for processing data and judging the attention of the driver. The output end of the processor is electrically connected with a warning device. The invention further discloses a method for remote monitoring and abnormity early warning. The sight direction of the driver is collected and detected through the video detecting machine, the position and the running speed of the motor vehicle are collected through the GPS / big dipper double-module receiver, therefore, judging of the attention states of the driver and detection of the abnormal states of the driver are realized, different warning measures are provided according to different abnormal states, and remote on-way driver real-time monitoring and remote on-way driver abnormity warning are realized. Thus, road traffic accidents are avoided.

Description

[0001] technical field [0002] The invention relates to the technical field of active safety of motor vehicle driving, in particular to a system and method for remote monitoring and abnormal warning of drivers. [0003] Background technique [0004] The rapid development of social economy has led to a surge in road traffic volume, and road traffic accidents have become an increasingly serious public safety problem worldwide. Statistics show that the highest rate of road traffic accidents caused by drivers' human factors accounts for about 90%, which brings serious harm to people's lives and property safety. Among the driver's human factors that lead to these highway traffic accidents, fatigue driving, drunk driving and distracted driving are one of the important reasons. According to analysis, the driver's inattention within 3 seconds caused 80% of the traffic accidents, mainly manifested as lane departure and rear-end collisions. [0005] In order to prevent road traffi...

AI Technical Summary

Problems solved by technology

These technologies and equipment have played a certain role in use, but there are also great limitations. For example, fatigue state detection is only effective for some drivers, and it is impossible to perform accurate fatigue detection for all drivers; alcohol odor detection in the cab There is a large difference between ventilation and non-ventilation conditions, and it is impossible to accurately determine whether the driver is drinking or not

These limitations limit the popularization and use of the above-mentioned active safety technologies and equipment for motor vehicle driving, and cannot completely avoid road traffic accidents, especially serious and extraordinarily serious traffic accidents.

[0006] In order to prevent accidents, the road traffic and transportation management department has developed a remote monitoring system for vehicles using global satellite positioning technology, modern communication technology and computer technology. The state of the driver's attention, it is impossible to give early warning prompts and implement police measures when the driver's attention is abnormal. It can only be used as an analysis material for the cause of the accident after the occurrence of a road traffic accident, and it cannot play the role of preventing accidents.

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