Smartphone-based remote security monitoring

Home security is a critical concern for homeowners, particularly in today's world, where there are crime cases of break-ins and thefts. Home security refers to measures taken to safeguard homes from threats such as burglary, and other criminal activities. The advancements in computer vision...

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Main Author: Khng, Samuel Ren Hai
Other Authors: Goh Wooi Boon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166177
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-166177
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spelling sg-ntu-dr.10356-1661772023-04-28T15:39:25Z Smartphone-based remote security monitoring Khng, Samuel Ren Hai Goh Wooi Boon School of Computer Science and Engineering ASWBGOH@ntu.edu.sg Engineering::Computer science and engineering Home security is a critical concern for homeowners, particularly in today's world, where there are crime cases of break-ins and thefts. Home security refers to measures taken to safeguard homes from threats such as burglary, and other criminal activities. The advancements in computer vision have revolutionized home security systems and made them more accessible and user-friendly. This project aims to develop a smart remote security system that can perform human detection using a deep learning model on an Android smartphone. The project can utilize spare phones with cameras to create a security system that can provide a sense of security to users without the need for expensive equipment or professional installation. The system can send app notifications to alert the user of any suspicious events and will have a power-saving mode to reduce energy consumption while still providing security. In addition, the report covers the development of critical functions in the application. Bachelor of Engineering (Computer Science) 2023-04-24T04:33:05Z 2023-04-24T04:33:05Z 2023 Final Year Project (FYP) Khng, S. R. H. (2023). Smartphone-based remote security monitoring. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166177 https://hdl.handle.net/10356/166177 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Khng, Samuel Ren Hai
Smartphone-based remote security monitoring
description Home security is a critical concern for homeowners, particularly in today's world, where there are crime cases of break-ins and thefts. Home security refers to measures taken to safeguard homes from threats such as burglary, and other criminal activities. The advancements in computer vision have revolutionized home security systems and made them more accessible and user-friendly. This project aims to develop a smart remote security system that can perform human detection using a deep learning model on an Android smartphone. The project can utilize spare phones with cameras to create a security system that can provide a sense of security to users without the need for expensive equipment or professional installation. The system can send app notifications to alert the user of any suspicious events and will have a power-saving mode to reduce energy consumption while still providing security. In addition, the report covers the development of critical functions in the application.
author2 Goh Wooi Boon
author_facet Goh Wooi Boon
Khng, Samuel Ren Hai
format Final Year Project
author Khng, Samuel Ren Hai
author_sort Khng, Samuel Ren Hai
title Smartphone-based remote security monitoring
title_short Smartphone-based remote security monitoring
title_full Smartphone-based remote security monitoring
title_fullStr Smartphone-based remote security monitoring
title_full_unstemmed Smartphone-based remote security monitoring
title_sort smartphone-based remote security monitoring
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166177
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