A vision-based intelligent transportation system for high tech cities
While it has become common practice to utilize image processing algorithms to help modernize road traffic regulation, there are still many issues within the system that must be addressed. This project focuses on the usage of theoretical image processing algorithms in an object- orientated developmen...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/139498 |
| _version_ | 1826116713639313408 |
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| author | Mohamad Syahrul Syafiq Mohamad Nasir |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Mohamad Syahrul Syafiq Mohamad Nasir |
| author_sort | Mohamad Syahrul Syafiq Mohamad Nasir |
| collection | NTU |
| description | While it has become common practice to utilize image processing algorithms to help modernize road traffic regulation, there are still many issues within the system that must be addressed. This project focuses on the usage of theoretical image processing algorithms in an object- orientated development environment and its real-world applications. This includes using MATLAB as a way of simulating a local, vision-based system that can be adopted for use in traffic monitoring systems. This project will be covering the entire program development which includes structure modelling, source coding, GUI rendering, data binding and development-side testing. The project then applies the result to develop several different applications through the compilation of MATLAB. These include: consolidating the primary image processing algorithms into a generic image parser and recognizing vehicle registration plate thereby segmenting characters using OCR. Furthermore, this project investigates the feasibility of using vision-based processing algorithms in video surveillance systems to better manage road traffic. Finally, the thesis presents the experimental findings that have been discovered throughout the project and lays out the methodologies of image processing that can be applied to road traffic management. |
| first_indexed | 2024-10-01T04:15:53Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/139498 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:15:53Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1394982023-07-07T18:25:23Z A vision-based intelligent transportation system for high tech cities Mohamad Syahrul Syafiq Mohamad Nasir Mohammed Yakoob Siyal School of Electrical and Electronic Engineering eyakoob@staff.main.ntu.edu.sg Engineering::Electrical and electronic engineering While it has become common practice to utilize image processing algorithms to help modernize road traffic regulation, there are still many issues within the system that must be addressed. This project focuses on the usage of theoretical image processing algorithms in an object- orientated development environment and its real-world applications. This includes using MATLAB as a way of simulating a local, vision-based system that can be adopted for use in traffic monitoring systems. This project will be covering the entire program development which includes structure modelling, source coding, GUI rendering, data binding and development-side testing. The project then applies the result to develop several different applications through the compilation of MATLAB. These include: consolidating the primary image processing algorithms into a generic image parser and recognizing vehicle registration plate thereby segmenting characters using OCR. Furthermore, this project investigates the feasibility of using vision-based processing algorithms in video surveillance systems to better manage road traffic. Finally, the thesis presents the experimental findings that have been discovered throughout the project and lays out the methodologies of image processing that can be applied to road traffic management. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-20T02:13:49Z 2020-05-20T02:13:49Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139498 en A3168-191 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Mohamad Syahrul Syafiq Mohamad Nasir A vision-based intelligent transportation system for high tech cities |
| title | A vision-based intelligent transportation system for high tech cities |
| title_full | A vision-based intelligent transportation system for high tech cities |
| title_fullStr | A vision-based intelligent transportation system for high tech cities |
| title_full_unstemmed | A vision-based intelligent transportation system for high tech cities |
| title_short | A vision-based intelligent transportation system for high tech cities |
| title_sort | vision based intelligent transportation system for high tech cities |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/139498 |
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