Offline Object Detection and Image based Offline Data Mining

Internet is a major source of information for many people all around the world where the data is just a few clicks away. With today’s technology, image recognition is possible where a user can upload an image onto the server and get the results. But when there is no internet there is no way to do im...

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Main Author: Kamal, Aishwarya
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20102 /
Published: IRC 2019
Online Access: http://utpedia.utp.edu.my/20102/1/FYP_report_9.pdf
http://utpedia.utp.edu.my/20102/
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id utp-utpedia.20102
recordtype eprints
spelling utp-utpedia.201022019-12-20T16:14:40Z http://utpedia.utp.edu.my/20102/ Offline Object Detection and Image based Offline Data Mining Kamal, Aishwarya Internet is a major source of information for many people all around the world where the data is just a few clicks away. With today’s technology, image recognition is possible where a user can upload an image onto the server and get the results. But when there is no internet there is no way to do image recognition and get any information about the object in the image. The purpose of this project is to tackle this problem of being limited to do image recognition and search for information only with the help of internet. In this project with the help of Machine learning and mobile application, the user can point the camera to any object and detect the object without internet and also display information about the object. The scope of this project is only some food categories and be able to successfully show the proof the concept. It provides a useful tool which can be expanded to detect any category of objects in the image without using internet. The results obtained were validated and the application had an accuracy of 95%. IRC 2019-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20102/1/FYP_report_9.pdf Kamal, Aishwarya (2019) Offline Object Detection and Image based Offline Data Mining. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
description Internet is a major source of information for many people all around the world where the data is just a few clicks away. With today’s technology, image recognition is possible where a user can upload an image onto the server and get the results. But when there is no internet there is no way to do image recognition and get any information about the object in the image. The purpose of this project is to tackle this problem of being limited to do image recognition and search for information only with the help of internet. In this project with the help of Machine learning and mobile application, the user can point the camera to any object and detect the object without internet and also display information about the object. The scope of this project is only some food categories and be able to successfully show the proof the concept. It provides a useful tool which can be expanded to detect any category of objects in the image without using internet. The results obtained were validated and the application had an accuracy of 95%.
format Final Year Project
author Kamal, Aishwarya
spellingShingle Kamal, Aishwarya
Offline Object Detection and Image based Offline Data Mining
author_sort Kamal, Aishwarya
title Offline Object Detection and Image based Offline Data Mining
title_short Offline Object Detection and Image based Offline Data Mining
title_full Offline Object Detection and Image based Offline Data Mining
title_fullStr Offline Object Detection and Image based Offline Data Mining
title_full_unstemmed Offline Object Detection and Image based Offline Data Mining
title_sort offline object detection and image based offline data mining
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20102/1/FYP_report_9.pdf
http://utpedia.utp.edu.my/20102/
_version_ 1741195578155466752
score 11.62408

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