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For the problem of uneven distribution of passengers and poor flow of passenger in subway, a intelligent riding system based on dynamic hybrid people identification is established by the analysis tools of the dynamic hybrid algorithm. First of all, the collection of the car image is used to have pretreatment that includes gray and binarization, the degree of congestion within a single compartment is defined as four levels though the proportion of passengers in the image. And then, image recognition is done by the dynamic hybrid algorithm, the level of congestion of the compartment is determined. Ultimately, the level is displayed to the next station in the form of warning lights and text. Experiment and comparison results show that the background elimination method is proposed to improve the recognizable identity of the population in this paper, and the effective identification time is 6.28 s, it is much less than the running time of the subway station, this system can improve the capacity of the subway and the environment of the subway.
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