Driver fatigue detecting method and system based on vision

A driver fatigue detection method technology, applied in the field of fatigue alarm system, can solve the problems of high cost and inaccurate detection, achieve high accuracy, reduce system cost, and ensure the safety of life and property

Inactive Publication Date: 2011-09-28
BEIHANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of inaccurate detection and high cost of the existing fatigue detection system, the present invention proposes a fatigue detection al

Method used

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  • Driver fatigue detecting method and system based on vision
  • Driver fatigue detecting method and system based on vision
  • Driver fatigue detecting method and system based on vision

Examples

Experimental program
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Embodiment Construction

[0011] First install the equipment and fix the wireless camera on the motor vehicle so that the camera can collect the driver's head image. The wireless router and alarm are installed in a fixed position, and the mobile phone is turned on to connect to the wireless router.

[0012] Then open the fatigue detection software on the mobile phone, and the video stream captured by the camera is displayed on the mobile phone screen. The user adjusts the position of the camera so that the camera can capture the face image, and then clicks on the screen to initialize the system. At this time, the system needs to collect the user’s eyes open Information, extract the user's eye characteristics, as a sample training system, require the user to open their eyes for about 10 seconds. The system is initialized and starts to run. If "open" appears on the mobile phone, the system judges that the eyes are open; if "close" appears on the mobile phone, the system judges that the eyes are closed. If ...

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Abstract

The invention relates to a driver fatigue detecting method and a system based on vision, belonging to the technical field of computers. The method comprises an image acquisition part, a human eye detection part, a fatigue judgment part and a fatigue alarming part. In the image acquisition part, a camera is used to acquire the facial image of a driver and the image is transmitted to a mobile phone end by a local area network constructed by a wireless router; in the human eye detection part, adaboost algorithm is used to carry out human face detection and human eye detection and the eye state can be judged by human eye area binarization; in the fatigue judgment part, the fatigue degree can be calculated by combining frequency of wink with the P80 measurement method of PERCLOS according to the open and close states of the human eyes; and in the fatigue alarming part, and when the fatigue state is judged, a mobile phone alarms by ringing and simultaneously triggers an alarm to alarm. By the method and the system disclosed by the invention, alarm signals can be sent in time when a driver is in fatigue driving, and the safety of life and property of drivers is guaranteed. The method and the system can be as applied to general driving safety accessories and traffic supervision and the like, and also can be used for fatigue detection of pilots and the crew. The method and the system disclosed by the invention has high reliability, low cost and good applicability.

Description

Technical field [0001] The invention belongs to the field of computer technology and relates to a fatigue alarm system based on image processing technology that detects the driver's fatigue degree according to the driver's eye state. Background technique [0002] At present, in the field of fatigue detection, fatigue detection research methods can be divided into two categories. One is to detect whether there is fatigue from the driver's own characteristics; the other is to indirectly determine whether the driver is fatigued according to the behavior of the vehicle. Driver-based fatigue detection technology uses cameras and computer vision, digital image processing, pattern recognition and other technologies to classify and recognize visual features. Fatigue detection is performed by studying visual features such as eye state, eyelid blinking, eye movement, head displacement and facial expressions. The current fatigue detection system mainly includes an image acquisition part, a...

Claims

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Application Information

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IPC IPC(8): G08B21/06
Inventor 宋友罗云峰曾立
Owner BEIHANG UNIV
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