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Smart refrigerator

This project focuses on developing a semi-automated smart refrigerator system designed to enhance food management and user convenience. The system targets a wide audience, including homemakers, professional chefs, elderly individuals, and casual refrigerator users, by addressing key issues such as m...

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Bibliographic Details
Main Author: Ng, Zhen Hong
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
T Technology (General)
Online Access:http://eprints.utar.edu.my/6991/1/fyp_CS_2024_NZH.pdf
http://eprints.utar.edu.my/6991/
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id my-utar-eprints.6991
record_format eprints
spelling my-utar-eprints.69912025-02-21T03:06:57Z Smart refrigerator Ng, Zhen Hong T Technology (General) This project focuses on developing a semi-automated smart refrigerator system designed to enhance food management and user convenience. The system targets a wide audience, including homemakers, professional chefs, elderly individuals, and casual refrigerator users, by addressing key issues such as manual item input, food overstocking, and the lack of real-time refrigerator status transparency. This project has integrated computer vision, deep learning, and IoT technologies to automate the detection of food items inside the refrigerator, using a Raspberry Pi and a webcam to simulate a smart environment. Users will be able to access real-time information about the contents of their fridge, receive reminders about food expiry, and manage their inventory through an intuitive platform. This development will be of particular interest to technology enthusiasts, IoT developers, and manufacturers looking to innovate in the smart home appliance market. Additionally, it serves as a valuable simulation model for testing new concepts in smart refrigerator design, with a focus on reducing food waste, improving convenience, and enhancing sustainability practices. 2024-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6991/1/fyp_CS_2024_NZH.pdf Ng, Zhen Hong (2024) Smart refrigerator. Final Year Project, UTAR. http://eprints.utar.edu.my/6991/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
spellingShingle T Technology (General)
Ng, Zhen Hong
Smart refrigerator
description This project focuses on developing a semi-automated smart refrigerator system designed to enhance food management and user convenience. The system targets a wide audience, including homemakers, professional chefs, elderly individuals, and casual refrigerator users, by addressing key issues such as manual item input, food overstocking, and the lack of real-time refrigerator status transparency. This project has integrated computer vision, deep learning, and IoT technologies to automate the detection of food items inside the refrigerator, using a Raspberry Pi and a webcam to simulate a smart environment. Users will be able to access real-time information about the contents of their fridge, receive reminders about food expiry, and manage their inventory through an intuitive platform. This development will be of particular interest to technology enthusiasts, IoT developers, and manufacturers looking to innovate in the smart home appliance market. Additionally, it serves as a valuable simulation model for testing new concepts in smart refrigerator design, with a focus on reducing food waste, improving convenience, and enhancing sustainability practices.
format Final Year Project / Dissertation / Thesis
author Ng, Zhen Hong
author_facet Ng, Zhen Hong
author_sort Ng, Zhen Hong
title Smart refrigerator
title_short Smart refrigerator
title_full Smart refrigerator
title_fullStr Smart refrigerator
title_full_unstemmed Smart refrigerator
title_sort smart refrigerator
publishDate 2024
url http://eprints.utar.edu.my/6991/1/fyp_CS_2024_NZH.pdf
http://eprints.utar.edu.my/6991/
_version_ 1825167457189363712
score 13.244109

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