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In the design process of automobile data recorder detection system in the intelligent traffic management system, the traditional design method is difficult to resist the interference due to external environment, making the image of automobile data recorder is obscure, resulting in low detection precision problem. Therefore, this paper proposes a design method of automobile data recorder detection system in intelligent traffic management system based on the Internet of things. High precision automobile data recorder is used to make real-time differential dynamic processing for the collected vehicle information. The equivalent spherical correction algorithm is used to make real-time detection on the obtained vehicle image, to get the difference image and then make the binarization processing, and the edge information of tested vehicle can be obtained by statistical method, to realize the automatic recognition of vehicle, ensure the accuracy of detection. Simulation results show that the design method of automobile data recorder detection system in the intelligent traffic management system based on the Internet of things can improve the efficiency of detection, reduce the traffic accidents.

The research of highway safety technology based on Internet of things