Fatigue driving detection method and system based on convolutional neural network

Abstract

The invention discloses a fatigue driving detection method and a fatigue driving detection method system based on a convolutional neural network and belongs to the technical field of image processingand mode recognition. The method comprises the steps of firstly, collecting a two-dimensional face image of a driver in a driving state, classifying stepwisely according to the fatigue degree, and establishing a fatigue driving image library; secondly, constructing the convolutional neural network containing a data layer, a convolutional layer, a pooling layer, a connection layer and a classification layer; thirdly, iteratively training the constructed network with image data and labels in the fatigue driving image library as input of the convolutional neural network by use of a back propagation algorithm so that loss function values output by the network decrease gradually and are restrained; and fourthly, inputting a test sample of the face image of the driver in the driving state, identifying the test sample by use of a trained convolutional neural network model so as to implement detection classification of the fatigue degree of the face image of the driver. According to the fatigue driving detection method and the fatigue driving detection method system based on the convolutional neural network, compared with a conventional machine learning method, identification and classification effects are obviously improved, and a feasible concept is provided for real-time monitoring of fatigue driving.

Description

technical field [0001] The invention relates to a fatigue driving detection method based on a convolutional neural network, which belongs to the technical field of image processing and pattern recognition. Background technique [0002] With the rapid development of the economy, the automobile industry has achieved rapid growth, and people's travel methods have become richer, and automobiles are one of the most important travel methods. At the same time, the traffic order and safety conditions on the road have become very complicated, and the occurrence of traffic accidents has become more and more frequent. Fatigue driving is one of the most likely causes of traffic accidents. If the driver's fatigue driving can be detected in time and reminded in time, such traffic accidents can be prevented at the source and the incidence of traffic accidents can be reduced. Fatigue driving detection technology not only guarantees the safety of the driver's life and property, but also imp...

AI Technical Summary

Problems solved by technology

[0006] Provide a fatigue driving detection and recognition method and system based on convolutional neural network, solve the problem that traditional methods cannot accurately realize fatigue driving recognition, thereby providing a feasible and efficient method for real-time monitoring of fatigue driving

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