Driving state monitoring system and method for automobile driver

Abstract

The invention provides a driving state monitoring system and method for an automobile driver. The method comprises the following steps that the face is detected, whether the driver is placed in a detectable range at present is detected and if the face cannot be detected, the driver is prompted to adjust the position of a device till the device can detect the face; once the face is detected, a loudspeaker plays a prompt that the system starts working; image information is obtained continuously, face and mouth detection are carried out, a mouth tracking module is initialized, an eye contour positioning algorithm is called to carry out positioning, and the distance between the upper eyelid and the lower eyelid of the driver is analyzed till the analysis frame number exceeds certain number; the threshold of a blinking determination algorithm is initialized according to the distance between the upper and lower eyelids of the driver; and image information is continuously obtained from a camera, images are analyzed, and the driving state of the driver is analyzed comprehensively. According to the system and method, the driving state of the common drivers can be monitored by a machine vision technology, and behaviors of the drivers are prompted and standardized.

Description

technical field [0001] The invention relates to technical fields such as computer vision and automobile safety, and in particular to a system and method for monitoring the driving state of an automobile driver. Background technique [0002] At present, the number of cars is increasing, the traffic is becoming more and more developed, and the frequency of people driving is greatly increased compared with before. Although the number of times of driving has increased, people's awareness of safety precautions has not increased accordingly. How to ensure driving safety in this case is a very important issue. In all driving accidents, fatigue driving is one of the biggest accident-inducing causes. [0003] In view of this, the industry has developed devices to monitor fatigue driving, but most of these devices are based on very simple assumptions, such as using gravity sensors to detect head up and down movements to detect drowsiness. This equipment false alarm rate is high, an...

AI Technical Summary

Problems solved by technology

This kind of equipment has a high rate of false alarms, and its applicability is not strong

In addition, there are also some technical solutions based on driver facial image analysis to detect driver drowsiness, but the image analysis technology used takes a long time to process, the different states that can be processed are limited, the practicability is poor, and it is easy to block the driver's sight

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