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...

Full description

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.57048
record_format	uketd_dc
spelling	my-uitm-ir.570482022-04-06T17:41:32Z Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi 2022-03-14 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 Thesis https://ir.uitm.edu.my/id/eprint/57048/ https://ir.uitm.edu.my/id/eprint/57048/1/57048.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/57048/1/57048.pdf
_version_	1783734964745928704

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

Similar Items