Subway passenger fare evasion behavior detection method and system

Abstract

The invention provides a subway passenger fare evasion behavior detection system and method, and the system specifically comprises a passenger information marking module which recognizes and marks whether a passenger is a passenger who needs to buy a fare or not and whether an infant is carried or not, captures face information, and stores the dynamic riding information of the passenger; a card swiping behavior recognition module which is used for judging whether the passenger swipes a card or not based on whether a human body skeleton movement track based on deep shooting intersects with a card swiping area or not; a card swiping information reading module which is used for reading card swiping information and time of the gate, and judging that card swiping succeeds according to a card swiping success record while the card swiping behavior is implemented; and a fare evasion behavior judgment and early warning module which is combined with the passenger fare buying mark information, the card swiping behavior identification information, the card swiping success record and the number of passengers to identify fare evasion behaviors and perform early warning. According to the method,fare evasion behaviors in a subway can be automatically detected in real time, and money rededuction and early warning processing are completed.

Description

technical field [0001] The invention relates to the technical field of monitoring video processing, in particular to a method and system for detecting fare evasion behavior of subway passengers. Background technique [0002] At present, the urban rail transit system continues to expand with the urbanization process, and the traffic flow is increasing. In order to improve transportation efficiency, the unattended automatic fare collection (AFC) system has been widely used in the past few decades. At the same time, fare evasion is becoming more and more serious. For individuals, the economic return of fare evasion is very low, and it may pose a potential threat to personal safety when they climb over the gate and follow passengers who swipe their cards; Passengers have adverse psychological effects; from the perspective of social and economic costs, although fare evasion has brought considerable economic losses to subway operation and management, and has been repeatedly banne...

AI Technical Summary

Problems solved by technology

For individuals, the economic return of fare evasion is very low, and it may pose a potential threat to personal safety when they climb over the gate and follow passengers who swipe their cards; Passengers have adverse psychological effects; Considering the social and economic costs, although fare evasion has brought considerable economic losses to the operation and management of the subway, and has been banned repeatedly, the economic loss caused by a single fare evasion is not high

Therefore, it is necessary to monitor and manage subway fare evasion, but the method must be efficient

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