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Study of vision based traffic congestion classification monitoring system (vbtccms)

Image classification is the task of recognising an item or subject according to the class to which it has been allocated in the computer world. Similarly, this thesis discusses the work that was done and how traffic congestion was classified using roadside CCTV video. The goal is to use an architect...

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Main Author:	Shamrao, Ramasamy
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39005/1/EA18033_SHAMRAO_THESIS_V2%20-%20Sham%20Rao.pdf http://umpir.ump.edu.my/id/eprint/39005/
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id	my.ump.umpir.39005
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spelling	my.ump.umpir.390052023-10-24T08:07:07Z http://umpir.ump.edu.my/id/eprint/39005/ Study of vision based traffic congestion classification monitoring system (vbtccms) Shamrao, Ramasamy TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Image classification is the task of recognising an item or subject according to the class to which it has been allocated in the computer world. Similarly, this thesis discusses the work that was done and how traffic congestion was classified using roadside CCTV video. The goal is to use an architecture to investigate and classify traffic congestion variables into three categories: low congestion, medium congestion, and excessive congestion. The design entails a study of architecture as well as an application for detecting each class. The study of congestion factor utilising YOLO and Deep Sort, which was constructed using TensorFlow and Keras platform, will be covered in this thesis. The major purpose of this project is to develop a system for classifying traffic congestion on a busy route, with the system being able to classify traffic congestion into three categories: low, medium, and high. The entire categorization process is carried out by the system using vision. TensorFlow is an open source programming framework that provides a variety of architectures as well as an easy-to-use interface for future applications. 2022-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39005/1/EA18033_SHAMRAO_THESIS_V2%20-%20Sham%20Rao.pdf Shamrao, Ramasamy (2022) Study of vision based traffic congestion classification monitoring system (vbtccms). College of Engineering, Universiti Malaysia Pahang.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Shamrao, Ramasamy Study of vision based traffic congestion classification monitoring system (vbtccms)
description	Image classification is the task of recognising an item or subject according to the class to which it has been allocated in the computer world. Similarly, this thesis discusses the work that was done and how traffic congestion was classified using roadside CCTV video. The goal is to use an architecture to investigate and classify traffic congestion variables into three categories: low congestion, medium congestion, and excessive congestion. The design entails a study of architecture as well as an application for detecting each class. The study of congestion factor utilising YOLO and Deep Sort, which was constructed using TensorFlow and Keras platform, will be covered in this thesis. The major purpose of this project is to develop a system for classifying traffic congestion on a busy route, with the system being able to classify traffic congestion into three categories: low, medium, and high. The entire categorization process is carried out by the system using vision. TensorFlow is an open source programming framework that provides a variety of architectures as well as an easy-to-use interface for future applications.
format	Undergraduates Project Papers
author	Shamrao, Ramasamy
author_facet	Shamrao, Ramasamy
author_sort	Shamrao, Ramasamy
title	Study of vision based traffic congestion classification monitoring system (vbtccms)
title_short	Study of vision based traffic congestion classification monitoring system (vbtccms)
title_full	Study of vision based traffic congestion classification monitoring system (vbtccms)
title_fullStr	Study of vision based traffic congestion classification monitoring system (vbtccms)
title_full_unstemmed	Study of vision based traffic congestion classification monitoring system (vbtccms)
title_sort	study of vision based traffic congestion classification monitoring system (vbtccms)
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/39005/1/EA18033_SHAMRAO_THESIS_V2%20-%20Sham%20Rao.pdf http://umpir.ump.edu.my/id/eprint/39005/
_version_	1822923809093582848
score	13.232414

Study of vision based traffic congestion classification monitoring system (vbtccms)

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