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Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi

"In-car-abandoned children" is referring to children who have been abandoned in a car without parental supervision. This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned child...

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Main Author: Mohd Pauzi, Mohd Farhan
Format: Thesis
Language:English
Published: 2022
Subjects:
Geomatics
Neural networks (Computer science)
Online Access:https://ir.uitm.edu.my/id/eprint/57048/1/57048.pdf
https://ir.uitm.edu.my/id/eprint/57048/
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spelling my.uitm.ir.570482022-04-06T17:41:32Z https://ir.uitm.edu.my/id/eprint/57048/ Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi Mohd Pauzi, Mohd Farhan Geomatics Neural networks (Computer science) "In-car-abandoned children" is referring to children who have been abandoned in a car without parental supervision. This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. A set of children images model captured and then classified into two (2) classes; children and no-children via Convolutional Neural Network (CNN) classifier. The CNN method has been used in this study to detect children because the method can automatically learn pattern features and reduce the incompleteness caused by artificial design features. The method directly inputs the image pixel value through training sample image data. The CNN gives a job in visual content management by tagging (or label) the children in pictures as well. The programming language that is applied is Tensorflow which is available in Spyder. This study successfully creates a model that can detect children from the whole body in various poses with automatic tagging to the children's image. The benefit from this study is that this data will be utilized to improve current vehicle systems on the market and other benefits such as create the awareness to the parent and society about the in-car-abandoned children. 2022-03-14 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/57048/1/57048.pdf (2022) Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi. Degree thesis, thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Geomatics
Neural networks (Computer science)
spellingShingle Geomatics
Neural networks (Computer science)
Mohd Pauzi, Mohd Farhan
Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
description "In-car-abandoned children" is referring to children who have been abandoned in a car without parental supervision. This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. A set of children images model captured and then classified into two (2) classes; children and no-children via Convolutional Neural Network (CNN) classifier. The CNN method has been used in this study to detect children because the method can automatically learn pattern features and reduce the incompleteness caused by artificial design features. The method directly inputs the image pixel value through training sample image data. The CNN gives a job in visual content management by tagging (or label) the children in pictures as well. The programming language that is applied is Tensorflow which is available in Spyder. This study successfully creates a model that can detect children from the whole body in various poses with automatic tagging to the children's image. The benefit from this study is that this data will be utilized to improve current vehicle systems on the market and other benefits such as create the awareness to the parent and society about the in-car-abandoned children.
format Thesis
author Mohd Pauzi, Mohd Farhan
author_facet Mohd Pauzi, Mohd Farhan
author_sort Mohd Pauzi, Mohd Farhan
title Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
title_short Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
title_full Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
title_fullStr Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
title_full_unstemmed Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
title_sort detection of in-car-abandoned children via deep learning algorithm / mohd farhan mohd pauzi
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/57048/1/57048.pdf
https://ir.uitm.edu.my/id/eprint/57048/
_version_ 1729707537162305536
score 13.211869

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