摘要
将基于人物特征识别的图像处理技术应用于地铁屏蔽门形成基于图像处理技术的客流诱导型地铁屏蔽门系统,成为解决站台拥挤问题的有效途径之一。该技术基于OpenCV框架和Python语言,利用Python中的软件库和图像处理算法训练模型来识别地铁列车车厢内的乘客数量。首先通过摄像头拍照采集图像;其次对图像进行识别处理,将车厢内客流数据提供给屏蔽门控制系统可编程逻辑控制器(Programmable Logic Controller,PLC)并与客流预警阈值进行对比;最后根据不同客流等级控制地铁屏蔽门上的指示灯显示不同的颜色来诱导乘客乘车。制作比例为1∶5的屏蔽门教学模型,并安装摄像头采集客流量,进行实验验证。结果表明,基于图像处理技术的客流诱导型地铁屏蔽门可以实现乘客拥挤状态显示,诱导乘客乘车,该系统将为地铁客流组织提供参考。
The image processing technology based on person feature recognition is applied to subway screen doors to form a passenger flow inducing subway screen door system based on image processing technology,which becomes one of the effective ways to solve the platform crowding problem.The principle of this technology is based on OpenCV framework and Python language,using the software library in Python and image processing algorithm to train the model to identify the number of passengers in the subway train car.Firstly,the image is captured by camera;secondly,the image is recognized and processed,and the data of passenger flow in the carriage is provided to the Programmable Logic Controller(PLC)of the screen door control system and compared with the threshold of passenger flow warning;finally,the indicators on the screen door are controlled to display different colors according to different passenger flow levels to induce Finally,according to different passenger flow levels,the indicator lights on the subway screen doors are controlled to display different colors to induce passengers to ride.A 1:5 scale model of the screen door is made and a camera is installed to collect passenger flow for experimental verification.The results show that the image processing technology based on passenger flow induction subway screen door can achieve the crowded state display to induce passengers to ride,the system will provide reference and reference for the subway passenger flow organization.
作者
李永健
张琦
王亚明
付燕荣
LI Yongjian;ZHANG Qi;WANG Yaming;FU Yanrong(College of Automobile and Transportation,Tianjin University of Technology and Education,Tianjin 300222,China)
出处
《信息与电脑》
2022年第15期71-74,共4页
Information & Computer
基金
2021年国家级大学生创新创业训练计划项目(项目编号:202110066036)
天津市教委科研计划项目(项目编号:2020KJ121)。
