Computer vision for zoo animals using YOLO algorithm / Muaz Wazir

For decades, zoo visit has been one of the best forms of educational visit someone could experience. Being able to visit exotic animals and learn about them, observing their activities and behavior, it’s the best way to experience nature's gift without risking the safety of visitors since the a...

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Main Author:	Wazir, Muaz
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Electronic Computers Computer Science Neural networks (Computer science) Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/59292/1/59292.pdf
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id	my-uitm-ir.59292
record_format	uketd_dc
spelling	my-uitm-ir.592922024-07-03T04:19:52Z Computer vision for zoo animals using YOLO algorithm / Muaz Wazir 2022 Wazir, Muaz Electronic Computers. Computer Science Neural networks (Computer science) Algorithms For decades, zoo visit has been one of the best forms of educational visit someone could experience. Being able to visit exotic animals and learn about them, observing their activities and behavior, it’s the best way to experience nature's gift without risking the safety of visitors since the animals are usually in a protective enclosure (M. Wright, 2020). To better improve the experience of visiting a zoo, a field in Computer science and Artificial Intelligence is suited for this improvement. Humans glance at an image and instantly know what objects are in the image, where they are, and how they interact. The human visual system is fast and accurate, allowing us to perform complex tasks like driving with little conscious thought. Current detection system repurposes classifiers to perform detection. (G.Plastiras, 2019). Computer vision is a scientific field that figures out how computers can gain high-level understanding from digital images and videos similar to how humans have eyesight. The discipline itself wishes to accomplish the process of automating tasks that the human visual system can do (J. Redmon, n.d). The idea behind the use of computer vision in this case is to provide a system with the ability to instantaneously recognize zoo animals and be able to use that knowledge to present the user with the appropriate information regarding the animals it sees. This chapter provides the background and rationale for the study. The background of the study and the problem statement of this study will be discussed in this chapter. This section also explains the project's question, objective, scope and significance. 2022 Thesis https://ir.uitm.edu.my/id/eprint/59292/ https://ir.uitm.edu.my/id/eprint/59292/1/59292.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Mohamed Hatim, Shahirah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamed Hatim, Shahirah
topic	Electronic Computers Computer Science Neural networks (Computer science) Algorithms
spellingShingle	Electronic Computers Computer Science Neural networks (Computer science) Algorithms Wazir, Muaz Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
description	For decades, zoo visit has been one of the best forms of educational visit someone could experience. Being able to visit exotic animals and learn about them, observing their activities and behavior, it’s the best way to experience nature's gift without risking the safety of visitors since the animals are usually in a protective enclosure (M. Wright, 2020). To better improve the experience of visiting a zoo, a field in Computer science and Artificial Intelligence is suited for this improvement. Humans glance at an image and instantly know what objects are in the image, where they are, and how they interact. The human visual system is fast and accurate, allowing us to perform complex tasks like driving with little conscious thought. Current detection system repurposes classifiers to perform detection. (G.Plastiras, 2019). Computer vision is a scientific field that figures out how computers can gain high-level understanding from digital images and videos similar to how humans have eyesight. The discipline itself wishes to accomplish the process of automating tasks that the human visual system can do (J. Redmon, n.d). The idea behind the use of computer vision in this case is to provide a system with the ability to instantaneously recognize zoo animals and be able to use that knowledge to present the user with the appropriate information regarding the animals it sees. This chapter provides the background and rationale for the study. The background of the study and the problem statement of this study will be discussed in this chapter. This section also explains the project's question, objective, scope and significance.
format	Thesis
qualification_level	Bachelor degree
author	Wazir, Muaz
author_facet	Wazir, Muaz
author_sort	Wazir, Muaz
title	Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
title_short	Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
title_full	Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
title_fullStr	Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
title_full_unstemmed	Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
title_sort	computer vision for zoo animals using yolo algorithm / muaz wazir
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/59292/1/59292.pdf
_version_	1804889640777285632

Computer vision for zoo animals using YOLO algorithm / Muaz Wazir

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