Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
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| Idioma: | English |
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Brac University
2024
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| Acesso em linha: | http://hdl.handle.net/10361/22845 |
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10361-22845 |
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10361-228452024-10-20T06:28:04Z Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection Zafreen, Zasia Fazal, Mehnaz Ara Maisha, Umaiya Ahmed Salem, Mohammed Sadeq Sajin, Mehrab Hossain Mukta, Jannatun Noor Department of Computer Science and Engineering, Brac University Image processing Vessel detection Navigational intelligence Laser-based imaging Image processing--Digital techniques. Aids to navigation--Congresses. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 54-57). In this 21st century, maritime routes are crucial for geographical and financial reasons in riverine countries which include passenger traveling, cargo vessels, fishing, etc., and play an equally imperative role in the economy. To fulfill all the maritime based needs, current developing countries in the world do not have proper surveillance and monitoring systems in the local water vessels to tackle any possible disaster such as vessel collision. Despite being involved in trading through the maritime silk roads from 500 BC, the navigation system remains rudimentary in these developing countries and one of the worst outcomes of this architecture is regular death by launch accidents. Considering this paramount issue, we attempted to develop a secure, optimized, and effective system to make river traveling safe and secure, and in this paper, our focus was on Bangladesh’s inland waterway transportation, particularly at night. We proposed a system with the help of laser technology that tracks both the host ship and its surrounding vessels and provides real-time tracking position. Cameras such as CCTV or IP-based ones will be used to monitor the face vessel’s movement in real-time application. The diameter of the laser beam sphere was the primary source of data to work on for our proposed model, which was later annotated using image processing. The control room will be monitoring data continuously and since it is an AIS, the data will be updated automatically after the system is implemented on a vessel. This proposal was presented through modeling and simulations based on laser detection and identification. Zasia Zafreen Mehnaz Ara Fazal Umaiya Ahmed Maisha Mohammed Sadeq Salem Mehrab Hossain Sajin B.Sc in Computer Science and Engineering 2024-05-16T04:02:28Z 2024-05-16T04:02:28Z ©2024 2024-01 Thesis ID: 20301400 ID: 20301295 ID: 20301019 ID: 20301186 ID: 20301437 http://hdl.handle.net/10361/22845 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 71 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Vessel detection Navigational intelligence Laser-based imaging Image processing--Digital techniques. Aids to navigation--Congresses. |
| spellingShingle |
Image processing Vessel detection Navigational intelligence Laser-based imaging Image processing--Digital techniques. Aids to navigation--Congresses. Zafreen, Zasia Fazal, Mehnaz Ara Maisha, Umaiya Ahmed Salem, Mohammed Sadeq Sajin, Mehrab Hossain Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024. |
| author2 |
Mukta, Jannatun Noor |
| author_facet |
Mukta, Jannatun Noor Zafreen, Zasia Fazal, Mehnaz Ara Maisha, Umaiya Ahmed Salem, Mohammed Sadeq Sajin, Mehrab Hossain |
| format |
Thesis |
| author |
Zafreen, Zasia Fazal, Mehnaz Ara Maisha, Umaiya Ahmed Salem, Mohammed Sadeq Sajin, Mehrab Hossain |
| author_sort |
Zafreen, Zasia |
| title |
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| title_short |
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| title_full |
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| title_fullStr |
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| title_full_unstemmed |
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| title_sort |
navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22845 |
| work_keys_str_mv |
AT zafreenzasia navigationalintelligenceatriveralaserbasedimagingapproachfornocturnalvesseldetection AT fazalmehnazara navigationalintelligenceatriveralaserbasedimagingapproachfornocturnalvesseldetection AT maishaumaiyaahmed navigationalintelligenceatriveralaserbasedimagingapproachfornocturnalvesseldetection AT salemmohammedsadeq navigationalintelligenceatriveralaserbasedimagingapproachfornocturnalvesseldetection AT sajinmehrabhossain navigationalintelligenceatriveralaserbasedimagingapproachfornocturnalvesseldetection |
| _version_ |
1814307588389470208 |