Research and Implementation of Video Intelligent Auxiliary Recognition System for Smart Stations in Urban Rail Transit

This paper focused on the operation and management for smart stations in urban rail transit, we analyzed the key technologies of intelligent video auxiliary recognition, designed and implemented a video intelligent analysis subsystem which suitable for subway stations. This system monitors and analyzes various videos in the subway station in real-time, alerts and notifies the station operators when analyzing important information, abnormal events, and abnormal behaviors in the station, which supports typical application scenarios to assist in operation management.