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With the continuous innovation and development of face recognition and detection technology, it has been widely used in many fields. This paper mainly studies the application of this technology to detect the closed state of drivers' eyes, and according to the detection results give status warning timely, so as to reduce the probability of traffic accidents caused thereby. In this article, Python, OpenCV, Dlib and other third-party libraries are used to obtain the driver's face video through the mobile phone camera and detect the changes of eye aspect ratio (EAR) and mouth aspect ratio (MAR) to determine the driver's state. Finally, it outputs the relationship between EAR and MAR over time for this test.
Inspec keywords: object detection; road accidents; driver information systems; eye; road safety; cameras; face recognition
Subjects: Traffic engineering computing; Computer vision and image processing techniques; Image sensors; Image recognition