Image Recognition-Based Design of Intelligent Railway Station Diversion System

H. Li, Guocheng Liu
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Abstract

Considering that high passenger flow of railway stations in major cities in China is prone to safety hazards of dense crowds, image recognition-based intelligent railway station diversion system is proposed to solve the problem of local crowding. Through the automatic guidance and intelligent diversion functions of the automatic intelligent diversion system, each passenger can be smoothly guided to the destination for boarding, which solves passengers' difficulties in entering the station and finding the designated waiting room, thereby improving passengers' efficiency in entry and exit and helping ease the problem of passenger congestion in railway station.
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基于图像识别的智能火车站导流系统设计
针对中国主要城市火车站客流大,容易出现密集人群的安全隐患,提出基于图像识别的智能火车站导流系统,解决局部拥挤问题。通过自动智能导流系统的自动引导和智能导流功能,将每一位旅客顺利引导到目的地上车,解决了旅客进站难、找不到指定候车室的问题,从而提高了旅客进出站效率,有助于缓解火车站的旅客拥堵问题。
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