Automatic vehicle detection system
This project is based on webcam, Graphical User Interface (GUI), the relationship of each part for image processing and server client connection. This system is designed to automatically & remotely determine whether parking is empty or full. The monitoring system is written using Microsoft Visua...
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2007
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Online Access: | http://umpir.ump.edu.my/id/eprint/405/ http://umpir.ump.edu.my/id/eprint/405/ http://umpir.ump.edu.my/id/eprint/405/1/2629.pdf |
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ump-4052015-03-03T06:03:07Z http://umpir.ump.edu.my/id/eprint/405/ Automatic vehicle detection system Syahrul Nizam, Zaini TL Motor vehicles. Aeronautics. Astronautics This project is based on webcam, Graphical User Interface (GUI), the relationship of each part for image processing and server client connection. This system is designed to automatically & remotely determine whether parking is empty or full. The monitoring system is written using Microsoft Visual Basic Version 6 language. Edge detection is used to image reduces significantly the amount of data and filters out information that may be regarded as less relevant, preserving the important structural properties of an image. The captured image that will be compared to the default image to see the outcome if image either full or empty. This is one of image processing part that called differences. This concept cans different two images and then analysis it using Correlation coefficient concept. The data will be updated on the server that sends information on the availability of a parking space to client using internet connection. The data will be updated based on feedback of output parking system or if a client asked for the information. 2007-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/405/1/2629.pdf Syahrul Nizam, Zaini (2007) Automatic vehicle detection system. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:25208&theme=UMP2 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TL Motor vehicles. Aeronautics. Astronautics |
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TL Motor vehicles. Aeronautics. Astronautics Syahrul Nizam, Zaini Automatic vehicle detection system |
description |
This project is based on webcam, Graphical User Interface (GUI), the relationship of each part for image processing and server client connection. This system is designed to automatically & remotely determine whether parking is empty or full. The monitoring system is written using Microsoft Visual Basic Version 6 language. Edge detection is used to image reduces significantly the amount of data and filters out information that may be regarded as less relevant, preserving the important structural properties of an image. The captured image that will be compared to the default image to see the outcome if image either full or empty. This is one of image processing part that called differences. This concept cans different two images and then analysis it using Correlation coefficient concept. The data will be updated on the server that sends information on the availability of a parking space to client using internet connection. The data will be updated based on feedback of output parking system or if a client asked for the information. |
format |
Undergraduates Project Papers |
author |
Syahrul Nizam, Zaini |
author_facet |
Syahrul Nizam, Zaini |
author_sort |
Syahrul Nizam, Zaini |
title |
Automatic vehicle detection system |
title_short |
Automatic vehicle detection system |
title_full |
Automatic vehicle detection system |
title_fullStr |
Automatic vehicle detection system |
title_full_unstemmed |
Automatic vehicle detection system |
title_sort |
automatic vehicle detection system |
publishDate |
2007 |
url |
http://umpir.ump.edu.my/id/eprint/405/ http://umpir.ump.edu.my/id/eprint/405/ http://umpir.ump.edu.my/id/eprint/405/1/2629.pdf |
first_indexed |
2023-09-18T21:52:34Z |
last_indexed |
2023-09-18T21:52:34Z |
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1777413867274502144 |