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Method for detecting train driver behavior and fatigue state on line and detection system thereof

A fatigue state and train detection technology, which is applied in character and pattern recognition, instruments, computer parts, etc. The effect of ensuring safe driving

Inactive Publication Date: 2010-02-03
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there is no invention patent application for online detection of train driver behavior and fatigue status, and the realization of this technology involves many difficulties in the fields of image processing, pattern recognition and machine learning

Method used

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  • Method for detecting train driver behavior and fatigue state on line and detection system thereof
  • Method for detecting train driver behavior and fatigue state on line and detection system thereof
  • Method for detecting train driver behavior and fatigue state on line and detection system thereof

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Embodiment Construction

[0033] The specific implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0034] 1. If figure 1 The structure of the detection system shown and the connection method of each component are as follows:

[0035] The system consists of infrared camera, infrared light source, embedded host, alarm device, user keys, memory and embedded host. The infrared camera is a USB interface. The camera is sensitive to infrared light. In the case of filtering out visible light, it can be imaged according to the infrared light reflected by the object being photographed, and connected to the USB interface of the embedded host; the alarm is an audio interface between a speaker and the embedded host. Connected; the hard disk provides storage space for storing illegal driving videos, and is connected to the SATA port of the embedded host. This system uses a hard disk with a capacity of 40G. The capacity of the hard disk depends on t...

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Abstract

The invention discloses a method for detecting train driver behavior and fatigue state on line and a detection system thereof. The method comprises: adopting a camera to shoot a train driver; carrying out human face detection on pictures collected by the camera; judging whether the driver does not perform duty or nods off; then, using an eye open image detector trained by the AdaBoost algorithm to find an eye open image from the human face image so as to judge whether the driver opens eyes or not; and calculating the ratio of eye closing time to total testing time in real time, namely the PERCLOS value, for marking fatigue state. The system comprises a camera, an embedded host, an alarming device, a user press key and a memorizer, wherein, the camera, the alarming device, the user press key and the storage are respectively connected with the embedded host. The invention fills the gap of the field of monitoring train driver behavior and detecting fatigue state and can monitor train driver behavior and detect fatigue state under train environment.

Description

technical field [0001] The invention relates to the technical field of train driving safety, in particular to a method for online detection of train driver behavior and fatigue state and a detection system thereof. Background technique [0002] At present, the fatigue detection system on highway traffic has become a research hotspot at home and abroad. Fatigue driving also exists in long-distance train drivers, but few research institutions have studied the fatigue detection technology on trains. In the early morning of April 28, 2008, a train collision accident on the Jiaoji Railway, which attracted much attention, occurred, killing 70 people and injuring 416, including 51 seriously. According to investigations, the direct cause of major traffic safety accidents on the Jiaoji Railway was the speeding of trains, but before the collision, the driver was in a state of fatigue and did not look ahead clearly and lost the last chance to avoid the accident. Installing the driver ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G08B21/06
Inventor 秦华标程东旭倪向东
Owner SOUTH CHINA UNIV OF TECH
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