Intelligent identification method for gate accidents of urban mass transit

Abstract

The invention relates to an intelligent identification method for gate accidents of urban mass transit. According to the intelligent identification method, diffuse reflection infrared sensors are reasonably arrayed on a card wiping gate; detection data is conveyed into a PC (Personal Computer) for training of a neural network so as to distinguish adults, children and objects; an intelligent identification model is established to detect fare evasion. Compared with a traditional gate, the gate with the identification method has an intelligent identification function; the gate can identify whether passengers passing through the gate normally pass through or abnormally pass through. Current gates with the intelligent identification function can carry out logic judgment according to a condition of shielding a sensor in the aspects of time and space by movement individuals and the identification effect on some movement individuals abnormally walking is not ideal. Compared with the prior art, the intelligent identification method according to the invention introduces a deep learning network concept and the robustness of a gate intelligent identification system can be greatly improved by training a lot of data with various types at the early stage.

Description

technical field [0001] The invention relates to a pattern recognition technology, in particular to a method for intelligent recognition of urban rail transit turnstile events. Background technique [0002] The rapid development of society and economy and the gradual acceleration of the urbanization process have led to the gradual expansion of the city size and the sharp increase in the urban population, followed by a series of problems such as traffic congestion. In order to overcome these difficulties, on the one hand, it is necessary to strengthen the traffic Facilities construction, on the other hand, requires more ticket checking equipment—gates. However, arranging a staff member at each gate will consume a lot of labor costs. At the same time, only in the subway rail transit in Shanghai alone, 10,000 people evade fares every day, and the average annual loss is more than 10 million yuan. Therefore, the research on the automatic intelligent identification system of gates...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the problems of rail traffic congestion and difficult ticket supervision, and proposes an intelligent identification method for L urban rail transit gate events, and the gate itself can identify whether the passengers passing through the gate are passing through normally or abnormally

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