Device and method for fatigue driving early warning of driver of truck

Abstract

The invention discloses a device and method for fatigue driving early warning of a driver of a truck. The device and the method are characterized in that the heart rate before driver driving is preliminarily detected through a first preset heart rate, so that the driver is warned to avoid dangerous driving when the heart rate of the driver is too low due to disease, fatigue driving and the like, the fatigue state of the driver is preliminarily determined through the rapid comparison of the initial heart rate and the first judgment heart rate, so that the method and the device are beneficial toimproving the detection accuracy. According to the method and the device, the first judgment face model is generated by combining the initial face information of the driver with the existing public face three-dimensional model, and then the first facial expression three-dimensional contrast library is generated by combining the existing fatigue driving expression library, so that the driver of different facial features can have the own individual facial expression three-dimensional contrast library, and the recognition accuracy of the fatigue state of the driver is improved.

Description

technical field [0001] The invention relates to the field of automobile safety early warning, in particular to a device and method for driver fatigue driving early warning of trucks. Background technique [0002] With the development of society and the improvement of people's living standards, automobiles have become a means of transportation that ordinary families can afford, but traffic accidents have also increased dramatically. Among them, fatigue driving is an important cause of traffic accidents. According to statistics, more than one-third of traffic accidents are caused by driver fatigue, and fatigue driving is often caused by major accidents. In my country, the economic losses caused by traffic accidents caused by fatigue driving are as high as hundreds of billions of yuan every year, and more than 90,000 people are killed or seriously injured every year due to accidents caused by fatigue driving. [0003] At present, there is no clear assessment standard for fatig...

AI Technical Summary

Problems solved by technology

However, this type of method has the following problems: 1. Fatigue driving mostly occurs at night, and the lighting effect at night is not good, and judging the closure of the eyes requires a very high-precision photographic image. Accuracy is not guaranteed when the image is blurred and noisy due to influences such as driver head movement

2. Even if the high-definition eye images can be obtained through the high-definition night camera, due to the eye size and usage habits of different drivers, such as the driver squinting, the eyes will only appear blurred when the driver is tired. Not closed, etc., so that the practical effect of this type of method is not good

[0005] And some existing methods that detect based on the driver's heart rate also have the following problems: 1. Some old drivers' heart rate level itself is low, and then a little change in the heart rate will cause large fluctuations, and simply detecting with the heart rate will cause There are frequent occurrences of false alarms

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