Vision System for Item Recognition: Case Study Computer Peripherals

Vision System is part of Artificial Intelligence (AI) using the camera as a primary input. Over the past fifty years, the development of AI had achieved a great achievement such as the development of a Vision System. Implementation of the Vision System is not limited to industry but also as a soluti...

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Main Authors: Yap, Choi Sen, Ong, Tun Jie
Format: Article
Language:English
Published: INTI International University 2019
Subjects:
Online Access:http://eprints.intimal.edu.my/1299/
http://eprints.intimal.edu.my/1299/1/ij2019_27.pdf
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author Yap, Choi Sen
Ong, Tun Jie
author_facet Yap, Choi Sen
Ong, Tun Jie
author_sort Yap, Choi Sen
building INTI Institutional Repository
collection Online Access
description Vision System is part of Artificial Intelligence (AI) using the camera as a primary input. Over the past fifty years, the development of AI had achieved a great achievement such as the development of a Vision System. Implementation of the Vision System is not limited to industry but also as a solution to recognize an unknown object in various area. However, the availability of the current Vision System for personal usage is still limited in the market (such as Google Lens and CamFind) which is known to have a harsh requirement to whom able to use it or had limited functionality that result of unable to provide more information on the unrecognized item. Therefore, this research is proposed to create an alternate Vision System which enhancing user experience on the computer peripherals. A forum-like social environment is also develop as extra channel for the user to share information. The user will able to use this item recognition function to identify the computer peripherals that they are interested to find out and post their doubts to the forum in getting help from others.
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spelling intimal-12992024-04-16T06:03:16Z http://eprints.intimal.edu.my/1299/ Vision System for Item Recognition: Case Study Computer Peripherals Yap, Choi Sen Ong, Tun Jie QA75 Electronic computers. Computer science Vision System is part of Artificial Intelligence (AI) using the camera as a primary input. Over the past fifty years, the development of AI had achieved a great achievement such as the development of a Vision System. Implementation of the Vision System is not limited to industry but also as a solution to recognize an unknown object in various area. However, the availability of the current Vision System for personal usage is still limited in the market (such as Google Lens and CamFind) which is known to have a harsh requirement to whom able to use it or had limited functionality that result of unable to provide more information on the unrecognized item. Therefore, this research is proposed to create an alternate Vision System which enhancing user experience on the computer peripherals. A forum-like social environment is also develop as extra channel for the user to share information. The user will able to use this item recognition function to identify the computer peripherals that they are interested to find out and post their doubts to the forum in getting help from others. INTI International University 2019 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1299/1/ij2019_27.pdf Yap, Choi Sen and Ong, Tun Jie (2019) Vision System for Item Recognition: Case Study Computer Peripherals. INTI JOURNAL, 2019 (27). ISSN e2600-7320 http://intijournal.intimal.edu.my
spellingShingle QA75 Electronic computers. Computer science
Yap, Choi Sen
Ong, Tun Jie
Vision System for Item Recognition: Case Study Computer Peripherals
title Vision System for Item Recognition: Case Study Computer Peripherals
title_full Vision System for Item Recognition: Case Study Computer Peripherals
title_fullStr Vision System for Item Recognition: Case Study Computer Peripherals
title_full_unstemmed Vision System for Item Recognition: Case Study Computer Peripherals
title_short Vision System for Item Recognition: Case Study Computer Peripherals
title_sort vision system for item recognition: case study computer peripherals
topic QA75 Electronic computers. Computer science
url http://eprints.intimal.edu.my/1299/
http://eprints.intimal.edu.my/1299/
http://eprints.intimal.edu.my/1299/1/ij2019_27.pdf