Snake species identification using image processing technique / Nur Farhani Azmi

The purpose of this project is to develop the application of classifying the snake species. The classification was conducted by using Inception-V3, a trained model of Convolutional Neural Network (CNN) by retraining the model with two (2) species of snake which are Reticulated Python from non-venomo...

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Main Author:	Azmi, Nur Farhani
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Android Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/31578/1/31578.pdf
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id	my-uitm-ir.31578
record_format	uketd_dc
spelling	my-uitm-ir.315782020-06-26T04:03:24Z Snake species identification using image processing technique / Nur Farhani Azmi 2020 Azmi, Nur Farhani Android Neural networks (Computer science) The purpose of this project is to develop the application of classifying the snake species. The classification was conducted by using Inception-V3, a trained model of Convolutional Neural Network (CNN) by retraining the model with two (2) species of snake which are Reticulated Python from non-venomous snake species and Malayan Pit Viper from venomous species. This project was guided by using a Modified Waterfall methodology that consist of five (5) phases which are Planning, Analysis, Design, Development and Testing. This application was built using Android Studio where a retraining model process done on using Anaconda Command. The model that has been chosen can be applied to mobile application as it will be easy to be used by all users. This application has been tested with 20 images of snake. The result of the testing shows 90% accuracy rate and all the testing images were classified correctly and successfully. The perception survey also has been evaluated by giving list of questionnaires among authorize person who are directly involve with snake such as Angkatan Pertahanan Malaysia (APM) and Bomba. The questionnaire of the survey form is based on I/S Success Model. The purpose of this survey is to get authorize person perceptions toward the application where 69.60% of 15 authorize person agree that the application produce a correct result as the information quality of the application has the highest mean value. For the future, more species of snake should be added, and user will be able to save and share the result. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31578/ https://ir.uitm.edu.my/id/eprint/31578/1/31578.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences Othman, Zainab
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Zainab
topic	Android Neural networks (Computer science)
spellingShingle	Android Neural networks (Computer science) Azmi, Nur Farhani Snake species identification using image processing technique / Nur Farhani Azmi
description	The purpose of this project is to develop the application of classifying the snake species. The classification was conducted by using Inception-V3, a trained model of Convolutional Neural Network (CNN) by retraining the model with two (2) species of snake which are Reticulated Python from non-venomous snake species and Malayan Pit Viper from venomous species. This project was guided by using a Modified Waterfall methodology that consist of five (5) phases which are Planning, Analysis, Design, Development and Testing. This application was built using Android Studio where a retraining model process done on using Anaconda Command. The model that has been chosen can be applied to mobile application as it will be easy to be used by all users. This application has been tested with 20 images of snake. The result of the testing shows 90% accuracy rate and all the testing images were classified correctly and successfully. The perception survey also has been evaluated by giving list of questionnaires among authorize person who are directly involve with snake such as Angkatan Pertahanan Malaysia (APM) and Bomba. The questionnaire of the survey form is based on I/S Success Model. The purpose of this survey is to get authorize person perceptions toward the application where 69.60% of 15 authorize person agree that the application produce a correct result as the information quality of the application has the highest mean value. For the future, more species of snake should be added, and user will be able to save and share the result.
format	Thesis
qualification_level	Bachelor degree
author	Azmi, Nur Farhani
author_facet	Azmi, Nur Farhani
author_sort	Azmi, Nur Farhani
title	Snake species identification using image processing technique / Nur Farhani Azmi
title_short	Snake species identification using image processing technique / Nur Farhani Azmi
title_full	Snake species identification using image processing technique / Nur Farhani Azmi
title_fullStr	Snake species identification using image processing technique / Nur Farhani Azmi
title_full_unstemmed	Snake species identification using image processing technique / Nur Farhani Azmi
title_sort	snake species identification using image processing technique / nur farhani azmi
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/31578/1/31578.pdf
_version_	1783734131756105728

Snake species identification using image processing technique / Nur Farhani Azmi

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