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 |