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基于机器视觉与RFID智能引导停车场
引用本文:高通,范道尔吉,贾成果,刘晨燕. 基于机器视觉与RFID智能引导停车场[J]. 计算机系统应用, 2017, 26(7): 71-77
作者姓名:高通  范道尔吉  贾成果  刘晨燕
作者单位:内蒙古大学电子信息工程学院, 呼和浩特 010021,内蒙古大学电子信息工程学院, 呼和浩特 010021,内蒙古大学电子信息工程学院, 呼和浩特 010021,内蒙古大学电子信息工程学院, 呼和浩特 010021
摘    要:随着城市化进程以及人民生活水平的提高,私家车的数量在近几年不断攀升,导致出现了大型停车场中找车难、服务差的问题.这对智能停车场的自动化程度以及服务质量要求越来越高.传统智能停车场以管理与检测为主,在车辆引导以及用户服务方面有所缺失.为此,本文将在嵌入式平台下,建立一个基于机器视觉的空位检测,人性快捷的RFID智能引导,以及完善管理系统和便民的微信公众服务的现代一体化停车场.

关 键 词:机器视觉  嵌入式Linux  RFID  云平台  车位引导  图形用户界面
收稿时间:2016-10-14
修稿时间:2016-11-21

Parking Lot Based on Machine Vision and RFID Intelligent Guidance
GAO Tong,FAN Dao-Er-Ji,JIA Cheng-Guo and LIU Chen-Yan. Parking Lot Based on Machine Vision and RFID Intelligent Guidance[J]. Computer Systems& Applications, 2017, 26(7): 71-77
Authors:GAO Tong  FAN Dao-Er-Ji  JIA Cheng-Guo  LIU Chen-Yan
Affiliation:Department of Electronic Engineering, College of Electronic Information Engineering, NeiMongol University, Hohhot 010021, China,Department of Electronic Engineering, College of Electronic Information Engineering, NeiMongol University, Hohhot 010021, China,Department of Electronic Engineering, College of Electronic Information Engineering, NeiMongol University, Hohhot 010021, China and Department of Electronic Engineering, College of Electronic Information Engineering, NeiMongol University, Hohhot 010021, China
Abstract:With the urbanization and the improvement of people''s living standards, the number of private cars in recent years has been increasing. It is difficult to find cars in parking lots, and the service is poor, which poses more demands on the automation of the intelligent parking lots and the service quality. Mainly serving for management and testing functions, traditional intelligent parking lots are inadequate in the vehicle guidance and customer service. To this end, this article builds an intelligent parking lot in embedded platform, which offers machine vision-based space detection, human intelligent RFID smart guide, and a complete management system and convenient WeChat public services.
Keywords:machine vision  embedded Linux  RFID  cloud platform  parking guidance  GUI
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