Method for detecting and reminding fatigue in real time

A real-time detection and fatigue technology, applied in the field of fatigue detection, can solve the problems of not being able to remind drivers, traffic accidents, etc.

Inactive Publication Date: 2015-02-18
XINJIANG HONGKAI ELECTRONICS SYST INTEGRATION
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method for real-time detection and reminder of fatigue, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the inability of existing research methods for fatigue driving. Remind the driver to get out of the fatigue state and cause traffic accidents

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 for detecting and reminding fatigue in real time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention is not limited by the following embodiments, and specific implementations can be determined according to the technical solution and actual conditions of the present invention.

[0022] The present invention will be further described below in conjunction with embodiments and drawings:

[0023] As attached figure 1 As shown, the method of real-time fatigue detection and reminder follows the following steps:

[0024] Step 101: Collect image information of the monitored person. The face capture function of the monitored person is mainly realized through the high-definition camera, the video data stream is obtained from the camera in real time, and the video data stream is sent to the central processing unit for subsequent processing.

[0025] Step 102: Perform real-time face detection on the collected image information. Active learning is performed on the collected video data stream to determine whether there is a face in the frame. The present inventi...

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 relates to the field of a fatigue inspection technology, and relates to a method for detecting and reminding fatigue in real time. The method comprises the following steps: acquiring the image information of a monitored person, and performing real-time face detection on the acquired image information; calibrating an initial point of the detected face; extracting the SIFT (Scale Invariant Feature Transform) features of the face to obtain a next linear regression parameter; locating the calibrated initial point to a face feature point by the linear regression parameter; analyzing the closing states of human eyes and mouth by the position of the face feature point; judging whether a monitored person is in a fatigue state in accordance with the closing states of the human eyes and mouth, reacquiring the image information of a detected person if a detected person is not in the fatigue stage, and making a fatigue early warning prompt if the detected person is in a fatigue state. According to the method provided by the invention, by using the face features based on a machine vision, any person suffering from fatigue, rhembasmus and slow response can be early warned accurately, effectively and in real time, and the risk of the fatigue work can be reduced.

Description

technical field [0001] The invention relates to the technical field of fatigue detection, and is a method for real-time fatigue detection and reminder. Background technique [0002] Fatigue driving is one of the important hidden dangers of today's traffic safety. When the driver is tired, his ability to perceive the surrounding environment, the ability to judge the situation and the ability to control the vehicle all decline to varying degrees, so traffic accidents are prone to occur. At the same time, fatigue is also a huge hidden danger in safe production, and production operations in a fatigued state are extremely prone to production accidents. Therefore, it is of great significance to research and develop high-performance fatigue state real-time monitoring and early warning methods. At present, the research on fatigue detection is divided into subjective and objective methods. The subjective research methods include subjective questionnaire, self-recording, sleep habit...

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): G08B21/06
CPCA61B5/18G08B21/06G06V20/597
Inventor 刘哲于涛
Owner XINJIANG HONGKAI ELECTRONICS SYST INTEGRATION
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