IMAGE-BASED PARKING SECURITY SYSTEM

This project proposes a smart solution or protocol that is generic to overcome vehicle theft issues, which can be implemented at any parking areas especially that are located outdoors. This proposed solution is known as Image-based Parking Security System. The problem of vehicle theft can occur at...

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Bibliographic Details
Main Author: VINCENT, SAJEM
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2020
Subjects:
Online Access:http://ir.unimas.my/id/eprint/34729/1/Vincent%20Sajem%20-%2024%20pgs.pdf
http://ir.unimas.my/id/eprint/34729/4/Vincent%20Sajem.pdf
http://ir.unimas.my/id/eprint/34729/
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id my.unimas.ir.34729
record_format eprints
spelling my.unimas.ir.347292024-09-13T08:34:47Z http://ir.unimas.my/id/eprint/34729/ IMAGE-BASED PARKING SECURITY SYSTEM VINCENT, SAJEM QA76 Computer software This project proposes a smart solution or protocol that is generic to overcome vehicle theft issues, which can be implemented at any parking areas especially that are located outdoors. This proposed solution is known as Image-based Parking Security System. The problem of vehicle theft can occur at any location, but this project specifically focuses on vehicles that are parked in outdoor parking spaces. Vehicle theft in such location occurs as a result of a manually operated monitoring system, which requires someone to guard the entrance and exit gates. It also can occur due to no security protocol for vehicle theft being implemented at all. The smart solution this project proposes is considered smart because it solely depends on a machine to do the monitoring management at the entrance and exit gates of a parking place. This proposed system will utilize deep learning technology. This technology is chosen to create a system that could detect and recognise the license plate of the vehicle. Universiti Malaysia Sarawak (UNIMAS) 2020 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/34729/1/Vincent%20Sajem%20-%2024%20pgs.pdf text en http://ir.unimas.my/id/eprint/34729/4/Vincent%20Sajem.pdf VINCENT, SAJEM (2020) IMAGE-BASED PARKING SECURITY SYSTEM. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
VINCENT, SAJEM
IMAGE-BASED PARKING SECURITY SYSTEM
description This project proposes a smart solution or protocol that is generic to overcome vehicle theft issues, which can be implemented at any parking areas especially that are located outdoors. This proposed solution is known as Image-based Parking Security System. The problem of vehicle theft can occur at any location, but this project specifically focuses on vehicles that are parked in outdoor parking spaces. Vehicle theft in such location occurs as a result of a manually operated monitoring system, which requires someone to guard the entrance and exit gates. It also can occur due to no security protocol for vehicle theft being implemented at all. The smart solution this project proposes is considered smart because it solely depends on a machine to do the monitoring management at the entrance and exit gates of a parking place. This proposed system will utilize deep learning technology. This technology is chosen to create a system that could detect and recognise the license plate of the vehicle.
format Final Year Project Report
author VINCENT, SAJEM
author_facet VINCENT, SAJEM
author_sort VINCENT, SAJEM
title IMAGE-BASED PARKING SECURITY SYSTEM
title_short IMAGE-BASED PARKING SECURITY SYSTEM
title_full IMAGE-BASED PARKING SECURITY SYSTEM
title_fullStr IMAGE-BASED PARKING SECURITY SYSTEM
title_full_unstemmed IMAGE-BASED PARKING SECURITY SYSTEM
title_sort image-based parking security system
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2020
url http://ir.unimas.my/id/eprint/34729/1/Vincent%20Sajem%20-%2024%20pgs.pdf
http://ir.unimas.my/id/eprint/34729/4/Vincent%20Sajem.pdf
http://ir.unimas.my/id/eprint/34729/
_version_ 1811600351239864320
score 13.211869