Design And Development Of Driver Fatigue Detection System Based On Face Recognition

In the modern society with rapid traffic leap, the number of people driving has been increasing rapidly, but drunken driving and over-driving have caused the road accidents to increase dramatically, which brings great hidden danger to the people's life and social security.So it is more and more urgent and important to test the fatigue degree of the driver and research and develop the auxiliary driving device. Based on the research results of human face,this paper mainly uses the PCA theory and other related algorithms to realize the driving face inspection, and assists the driver to drive safely according to the test results.The key work of the paper is to realize the positioning of the driver's face by the algorithm, and to quickly calculate the digital features in the process of facial expression through the combination of the driver's skin color and the coordinate projection algorithm.Then, according to these features,.Next, focus on open, half-closed, closed the three cases of mouth and eye changes in the camera to collect useful height of the contact data, through which the driver to determine whether the yaw and eyes closed eyes and other actions, and then help establish Judge the model and carry on the design of the system.By checking the driver's local image to complete the driver's tired state of the judge, can help drive people to drive, to avoid accidents. It is not only the current research hot spot, but also the expansion of machine vision and pattern recognition. On the basis of investigating the local characteristics of the face, by means of dividing the matrix, combined with the special situation when the driver is tired, To identify the characteristics of the human face organ outlines, emphasizing the key data, weakening the interference caused by unimportant data,and then determine the driver of the over-tired situation, this approach is effective, high accuracy, due to driver fatigue identification for speed And the precision requirements are very high, the accuracy of the system to meet the basic requirements. The main contents of this paper are the human face detection based on the skin color model, the local feature recognition based on the block PCA and the whole driver fatigue identification system.