A vision based system for modern transportation system

According to The Global status report on road safety 2018 which was issued by W.H.O (World Health Organisation), road accident had caused an estimated of 1.35 million deaths globally per year. That is equivalent to approximately of 3,700 people dying on the roads every day. 123 countries had come to...

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Main Author: Zhang, Zhicheng
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78142
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-781422023-07-07T17:01:08Z A vision based system for modern transportation system Zhang, Zhicheng Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering According to The Global status report on road safety 2018 which was issued by W.H.O (World Health Organisation), road accident had caused an estimated of 1.35 million deaths globally per year. That is equivalent to approximately of 3,700 people dying on the roads every day. 123 countries had come together, representing 6 billion people and implemented laws that meet the best practice for at least one of the five key behavioural risk factors contributing to the road accident. The common risk factors such as speeding, drink driving and riding on motorcycles without protective helmets. Although laws and punishments had been implemented but accidents will still happen under unforeseen circumstances. Such as spoilt mechanism of the vehicles causing the driver to lose control of the vehicle. With the help of the technologies, we will be able to minimize road accident from happening. A few of the existing technologies were studied and implemented to this project. Dash camera video clips that were available online had been extracted and then used together with the MATLAB algorithms. The algorithms which allow us to identify the surrounding vehicle coordinates which enable us to prewarn the driver by using a slowdown notification if he or she is getting too near to the vehicles or pedestrian ahead. We will be also getting sample images of the car number plate. With the help from various MATLAB functions we can process the images, eventually recognize and achieve our results in text form. By doing so, we can use it as part of the tools to catch drivers that are speeding. Similarly, we can apply the same concept for traffic signages which enable vehicles to identify the various traffic signages and inform the driver accordingly. Each of these functions mentioned will be incorporated into a Graphical User Interface (GUI). Lastly, this project had provided me an insight of various technologies for visual based system for modern transportation system. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T07:43:08Z 2019-06-12T07:43:08Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78142 en Nanyang Technological University 57 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhang, Zhicheng
A vision based system for modern transportation system
description According to The Global status report on road safety 2018 which was issued by W.H.O (World Health Organisation), road accident had caused an estimated of 1.35 million deaths globally per year. That is equivalent to approximately of 3,700 people dying on the roads every day. 123 countries had come together, representing 6 billion people and implemented laws that meet the best practice for at least one of the five key behavioural risk factors contributing to the road accident. The common risk factors such as speeding, drink driving and riding on motorcycles without protective helmets. Although laws and punishments had been implemented but accidents will still happen under unforeseen circumstances. Such as spoilt mechanism of the vehicles causing the driver to lose control of the vehicle. With the help of the technologies, we will be able to minimize road accident from happening. A few of the existing technologies were studied and implemented to this project. Dash camera video clips that were available online had been extracted and then used together with the MATLAB algorithms. The algorithms which allow us to identify the surrounding vehicle coordinates which enable us to prewarn the driver by using a slowdown notification if he or she is getting too near to the vehicles or pedestrian ahead. We will be also getting sample images of the car number plate. With the help from various MATLAB functions we can process the images, eventually recognize and achieve our results in text form. By doing so, we can use it as part of the tools to catch drivers that are speeding. Similarly, we can apply the same concept for traffic signages which enable vehicles to identify the various traffic signages and inform the driver accordingly. Each of these functions mentioned will be incorporated into a Graphical User Interface (GUI). Lastly, this project had provided me an insight of various technologies for visual based system for modern transportation system.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Zhang, Zhicheng
format Final Year Project
author Zhang, Zhicheng
author_sort Zhang, Zhicheng
title A vision based system for modern transportation system
title_short A vision based system for modern transportation system
title_full A vision based system for modern transportation system
title_fullStr A vision based system for modern transportation system
title_full_unstemmed A vision based system for modern transportation system
title_sort vision based system for modern transportation system
publishDate 2019
url http://hdl.handle.net/10356/78142
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