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Whale and Dolphin Species Detection

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dc.contributor.author Weerakone, Shevin
dc.date.accessioned 2024-05-07T03:58:08Z
dc.date.available 2024-05-07T03:58:08Z
dc.date.issued 2023
dc.identifier.citation Weerakone, Shevin (2023) Whale and Dolphin Species Detection. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019393
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2121
dc.description.abstract "Whale and dolphin watching is a popular recreational activity in Sri Lanka. However, the approach that is currently in use by the whale and dolphin watching guides is a very primitive one which involves simply using a combination of experience and pure luck. This is highly disadvantageous as it is not a consistent approach by any means and as a result, is certainly far from being the most efficient. There have not been any approaches to develop a system to aid the guides of the whale and dolphin industry in Sri Lanka, in detecting the location of the whales and dolphins accurately. This brings up the problem of a potential wastage of both time as well as fuel and a possible decline of future customers. This work focuses on the development of a system that has the capability to store whale and dolphin images, manage and update them. The design, development and evaluation of the mentioned system are addressed in this document." en_US
dc.language.iso en en_US
dc.subject Whale and Dolphin Watching en_US
dc.subject Image Processing en_US
dc.subject Angular en_US
dc.title Whale and Dolphin Species Detection en_US
dc.type Thesis en_US


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