Design and Implementation of Urban Rail Transit Train Passenger Flow Intelligent Monitoring System Based on CNN

Train video monitoring system for Urban rail transit provides safety guarantee for passengers. By analyzing the development needs of video monitoring system, this paper designs the overall architecture of train passenger flow monitoring system. Through comparing the implementation schemes of different convolutional neural networks (CNN) in passenger flow monitoring and analyzing the value of train passenger flow data and its application scenarios, the feasibility and necessity of studying passenger flow monitoring system are clarified.