Driver's driving state determination method, computer storage medium and electronic device

Abstract

The invention provides a driver's driving state determination method, computer storage medium and electronic equipment. The method for determining the driving state includes collecting the face image of the driver in real time, wherein the driver wears glasses; identifying the frame area in the face image, and determining the driver's pupil area in the frame area; calculating the ratio of the pupil area in the frame area The first proportion; obtain the second proportion of the driver's pupil area in the frame area in the awake state; calculate the eye opening and closing degree according to the first proportion and the second proportion; determine the driver's driving state according to the eye opening and closing degree . The scheme of the present invention can determine the eye area of ​​the driver by identifying and locating the frame area in the face image, so as to quickly and accurately calculate the degree of eye opening and closing, effectively solving the problem that the pupil area cannot be determined due to the real-time change of the pupil area due to eye movement. It is difficult to accurately identify the pupil edge and other issues.

Description

technical field [0001] The invention relates to the technical field of driver fatigue state detection, in particular to a method for determining a driver's driving state, a computer storage medium and electronic equipment. Background technique [0002] Based on the current investigation reports on the causes of many traffic accidents, it is found that the traffic accidents caused by driver fatigue account for a large proportion. Therefore, the research on the detection technology of driving fatigue is of great significance to the prevention of traffic accidents. [0003] Fatigue refers to a combination of various symptoms, such as subjective sensations such as lack of sleep, pupil diameter, fixed gaze, rapid eye movement, eyebrow saccades, and blinking. According to the relevant experimental results, it is proved that the degree of eye opening and closing is an important factor in detecting the driver's fatigue state. However, there are currently two difficulties in the ca...

AI Technical Summary

Problems solved by technology

However, there are currently two difficulties in the calculation of the degree of eye opening and closing: the first is that the size, shape, and position of the pupil are not fixed, because during the movement of the human eye, the size, position, shape, etc. Changes in real time, resulting in real-time changes in the area of ​​the pupil; the second is that the edge of the pupil is difficult to identify, because the edge of the covered part of the pupil is always changing during the process of opening and closing the eyes, and it is difficult to be accurate identification

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