Driving safety monitoring system based on face orientation and visual focus

Abstract

The invention discloses a driving safety monitoring system based on face orientation and visual focus, which comprises a vision sensor and an intelligent processor. The intelligent processor comprises an image acquisition module, a complexion area detection module, an edge extraction module, an eye detection module, a face orientation analysis module and a driver safety driving judgment module, wherein the complexion area detection module is used for converting an RGB color space into a YCrCb color space and detecting a complexion area; the edge extraction module is used for adopting a Canny operator to carry out edge extraction so as to acquire a head image outline; the eye detection module is used for carrying out Hough conversion for the marginalized face and positioning eyes; the face orientation analysis module is used for determining a mouth area, positioning the mouth, calculating left and right areas of the face respectively by using the eyes and the mouth as reference, and calculating the ratio of the left and right areas of the face; and the driver safety driving judgment module is used for judging an unsafe driving state if the calculated ratio of the left and right areas of the current face is out of a preset interval according to the preset interval of the ratio of the left and right areas of the face, and sending out an alarm command. The driving safety monitoring system has strong capacity of resisting disturbance and high accuracy.

Description

technical field [0001] The invention relates to a driving safety detection system. Background technique [0002] In modern society, people's living standards have been greatly improved, and the car ownership rate has increased year by year, and the subsequent safety hazards have become more and more serious. Traffic hazards are largely caused by driving fatigue, and fatigue monitoring uses physiological characteristics or driver driving behavior monitoring, but they will cause discomfort to the driver's body and are easily affected by environmental factors such as road conditions . In recent years, a method based on human face or human eye features has been used to monitor driver fatigue or distraction. Due to its simplicity, less interference and real-time performance, it has gradually become a research hotspot. [0003] In terms of face and human eye detection, there have been many studies, but there are many deficiencies. [0004] Some studies are limited to a single f...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of weak anti-interference ability and poor accuracy of existing driving safety detection systems, the present invention provides a driving safety monitoring system based on facial orientation and visual focus with strong anti-interference ability and high accuracy

Images