Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff

Face-based age recognition has significant effects for a variety of purposes, including personalised services and security measures. The capacity to reliably estimate a person's age using facial traits is critical in improving user experiences and security processes. In this project, we want to...

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Main Author:	Usok @ Yusoff, Hanin Hanisah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/95969/1/95969.pdf
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id	my-uitm-ir.95969
record_format	uketd_dc
spelling	my-uitm-ir.959692024-05-30T14:54:39Z Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff 2024 Usok @ Yusoff, Hanin Hanisah Neural networks (Computer science) Face-based age recognition has significant effects for a variety of purposes, including personalised services and security measures. The capacity to reliably estimate a person's age using facial traits is critical in improving user experiences and security processes. In this project, we want to create an age identification system that uses Convolutional Neural Network (CNN) algorithms to estimate people's ages fast and accurately from facial images. Following a thorough examination of numerous algorithms, CNN was determined to be the best effective method for age recognition from facial features due to its ability to automatically extract important data. The CNN model is thoroughly trained and analysed on various kinds of datasets containing facial photos of different ages. The results show a high 85% accuracy rate in determining the age of individuals. A user-friendly desktop system is created for input of facial photos and receiving immediate age estimation results, illustrating machine learning's assure in age identification. With implications for personalised services and security, this experiment demonstrates how CNN algorithms improve accuracy, adding to successful age-related technology. 2024 Thesis https://ir.uitm.edu.my/id/eprint/95969/ https://ir.uitm.edu.my/id/eprint/95969/1/95969.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Abdul Latif, Mohd Hanapi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Latif, Mohd Hanapi
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Usok @ Yusoff, Hanin Hanisah Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
description	Face-based age recognition has significant effects for a variety of purposes, including personalised services and security measures. The capacity to reliably estimate a person's age using facial traits is critical in improving user experiences and security processes. In this project, we want to create an age identification system that uses Convolutional Neural Network (CNN) algorithms to estimate people's ages fast and accurately from facial images. Following a thorough examination of numerous algorithms, CNN was determined to be the best effective method for age recognition from facial features due to its ability to automatically extract important data. The CNN model is thoroughly trained and analysed on various kinds of datasets containing facial photos of different ages. The results show a high 85% accuracy rate in determining the age of individuals. A user-friendly desktop system is created for input of facial photos and receiving immediate age estimation results, illustrating machine learning's assure in age identification. With implications for personalised services and security, this experiment demonstrates how CNN algorithms improve accuracy, adding to successful age-related technology.
format	Thesis
qualification_level	Bachelor degree
author	Usok @ Yusoff, Hanin Hanisah
author_facet	Usok @ Yusoff, Hanin Hanisah
author_sort	Usok @ Yusoff, Hanin Hanisah
title	Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
title_short	Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
title_full	Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
title_fullStr	Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
title_full_unstemmed	Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
title_sort	age detection from face using convolutional neural network (cnn) / hanin hanisah usok @ yusoff
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/95969/1/95969.pdf
_version_	1804889977287344128

Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff

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