A Parking Space Detection System

碩士 === 明新科技大學 === 電子工程研究所 === 101 === A parking space detection system is proposed in this thesis. The system mainly consists of three parts. The first part, using digital cameras to detect the position of the vehicle, this method combines the benefits of low cost and eliminating the shortcoming of...

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Main Authors: Han-Yu Lin, 林漢佑
Other Authors: Tsao-Yeh Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/34810000079350810740
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spelling ndltd-TW-101MHIT06860262016-05-22T04:33:04Z http://ndltd.ncl.edu.tw/handle/34810000079350810740 A Parking Space Detection System 車位在席偵測系統 Han-Yu Lin 林漢佑 碩士 明新科技大學 電子工程研究所 101 A parking space detection system is proposed in this thesis. The system mainly consists of three parts. The first part, using digital cameras to detect the position of the vehicle, this method combines the benefits of low cost and eliminating the shortcoming of complexity for conventional sensor-based construction. The second part is license plate recognition. The license plate fonts and numbers are captured from an unknown image and it can automatically distinguish and query the parking location of official and special vehicles. The third is vehicle guidance that through the appropriate indicator lights to guide the owners can reach their parking spaces. In Taiwan, according to “2011 Survey & Summary Analysis of Private Automobile Usage” analyzed by the Ministry of Transportation and Statistics Department, the average time taken is 9.4 minutes for a drivers to looking for a parking space near home. By country & city classification, the longest is 14.0 minutes for Taipei which is higher 2.5 & 5.6 minutes than New Taipei & Taichung cities, respectively. Moreover, the parking space shortage issue often occurs in airports, hospitals, shopping centers and public / private parking areas, it is very difficult to find a parking space in these crowded parkings. Therefore, the enhancement and improvement of parking management, increasing utilization, effectively control and reducing administrative costs become a major and important topic. Tsao-Yeh Chen 陳肇業 2013 學位論文 ; thesis 57 zh-TW
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description 碩士 === 明新科技大學 === 電子工程研究所 === 101 === A parking space detection system is proposed in this thesis. The system mainly consists of three parts. The first part, using digital cameras to detect the position of the vehicle, this method combines the benefits of low cost and eliminating the shortcoming of complexity for conventional sensor-based construction. The second part is license plate recognition. The license plate fonts and numbers are captured from an unknown image and it can automatically distinguish and query the parking location of official and special vehicles. The third is vehicle guidance that through the appropriate indicator lights to guide the owners can reach their parking spaces. In Taiwan, according to “2011 Survey & Summary Analysis of Private Automobile Usage” analyzed by the Ministry of Transportation and Statistics Department, the average time taken is 9.4 minutes for a drivers to looking for a parking space near home. By country & city classification, the longest is 14.0 minutes for Taipei which is higher 2.5 & 5.6 minutes than New Taipei & Taichung cities, respectively. Moreover, the parking space shortage issue often occurs in airports, hospitals, shopping centers and public / private parking areas, it is very difficult to find a parking space in these crowded parkings. Therefore, the enhancement and improvement of parking management, increasing utilization, effectively control and reducing administrative costs become a major and important topic.
author2 Tsao-Yeh Chen
author_facet Tsao-Yeh Chen
Han-Yu Lin
林漢佑
author Han-Yu Lin
林漢佑
spellingShingle Han-Yu Lin
林漢佑
A Parking Space Detection System
author_sort Han-Yu Lin
title A Parking Space Detection System
title_short A Parking Space Detection System
title_full A Parking Space Detection System
title_fullStr A Parking Space Detection System
title_full_unstemmed A Parking Space Detection System
title_sort parking space detection system
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/34810000079350810740
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