Fatigue driving detection method based on multi-information fusion

Abstract

The invention discloses a fatigue driving detection method based on multi-information fusion. The method comprises the steps: collecting a face picture of a driver, building a face three-dimensional model, and carrying out the identity verification of the driver; collecting a real-time video of a driver, extracting a current frame of human eye image for iris positioning, and judging the opening and closing states of eyes; judging whether the driver is in a fatigue state or not according to a number of continuous video frames of the face image of the driver, and updating the driving starting and ending time of the current driver; and determining the moving distance of the automobile in unit time through a GPS, and determining whether a central control platform sends an early warning signalto an alarm device installed in the automobile or not. The iris recognition and multi-information judgment fusion technology is adopted, more drivers can obtain fatigue driving prompts in time in thedriving process, and lives and property safety iare guaranteed.

Description

technical field [0001] The invention relates to the technical field of image recognition and detection, and more specifically relates to a fatigue driving detection method based on multi-information fusion. Background technique [0002] With the rapid increase of the number of motor vehicles and the rapid development of expressways, traffic accidents occur frequently, causing huge property losses and casualties to countries all over the world. How to reduce traffic accidents has become a worldwide problem, among which, the prevention of fatigue driving is a key technology that countries and major automobile manufacturers in the world are currently working hard to develop. Long-time driving, lack of sleep, physiological changes and other factors are the main causes of fatigue driving. When driving with fatigue, the driver will feel in a trance, inattention, blurred vision, and poor judgment. If he continues to drive in this situation, it is very easy for the operation to sto...

AI Technical Summary

Problems solved by technology

However, in the normal driving process, the single use of the camera to capture the driver's facial features cannot avoid the interference of light sources from various directions on the lens, especially at night when the light is insufficient, it will be more difficult to recognize the face, and it is impossible to effectively control the driving. The driving time is long, which has great limitations in practical application

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