Driver fatigue detecting method and system based on vision

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...

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 algorithm based on the driver's vision, which improves the accuracy and speed of fatigue detection, and installs the system on a smart phone, Reduced cost of additional electronics

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