Method and system for testing fatigue of driver

A technology for driver fatigue and detection system, applied in the field of video surveillance, to reduce computational complexity, improve reliability and accuracy, and improve accuracy

Active Publication Date: 2010-06-16
NETPOSA TECH
View PDF2 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In summary, the technical solutions for driver fatigue detection disclosed above all have certain limitations.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for testing fatigue of driver
  • Method and system for testing fatigue of driver
  • Method and system for testing fatigue of driver

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] figure 1 It is a schematic diagram of the flow chart of driver fatigue detection in the present invention, as figure 1 As shown, the driver fatigue detection method includes:

[0054] Step 1, face detection: from the video image obtained by the infrared camera, use the ellipse template to search for the area, and use the facial feature holes for verification to obtain the face area in the image;

[0055] Step 2, extract facial features: extract the positions of eyes, nose and mouth in the face area by FRST method and ellipse fitting method;

[0056] Step 3, tracking facial features: use the extracted facial features to update the position data of human eyes in the facial features in real time, and keep their movement tracks;

[0057] Step 4, Judging fatigue: According to the human eye tracking result, calculate the PERCLOS value to judge whether the driver is in a state of fatigue.

[0058] Such as figure 2 As shown, the face detection of step 1 is first performed,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and a system for testing the fatigue of a driver. The method comprises: a step of detecting faces, in which an infrared camera is used to capture a video image, an elliptic template is used to search a region and facial feature holes are used for verification so as to obtain a face region in the image; a step of extracting facial features, in which an FRST method and an ellipse fitting method are used to extract eye, nose and mouth positions in the face region; a step of tracking the facial features, in which the extracted facial features are used to extract data on real-time updating of eye positions in the facial features and a motion track is kept; and a step of judging fatigue, in which whether the driver is in a fatigue state is judged by calculating a PERCLOS value according to the result of the tracking of the facial features. The method and system improve the accuracy of the face test of the driver, lower the calculation complexity and improve the reliability and accuracy of the test of the fatigue.

Description

technical field [0001] The invention relates to video monitoring technology, in particular to a method and system for driver fatigue detection. Background technique [0002] Driver fatigue and lack of sleep are one of the important causes of serious traffic accidents. Statistics show that traffic accidents caused by fatigue / drowsiness account for about 7% of the total number of traffic accidents, 40% of serious traffic accidents, and 35% of traffic accidents on heavy trucks and highways. Therefore, it is of great significance to effectively monitor and prevent driver fatigue. [0003] Fatigue detection is a process of real-time detection and appropriate warning of driver fatigue during driving. It has the following requirements: 1) It must be non-interfering; 2) It must be real-time; 3) It must be illuminated 4) No harmful radiation, not including mobile devices. [0004] Among the various detection methods that can meet the above requirements and the effect is relatively...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/18
Inventor 王华菅云峰袁雪庚王占宁杨学超魏昱宁庞威
Owner NETPOSA TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap