Real Time Internationalization and Information Dissemination for Object Identification using Image Processing Algorithms
Dr. Badr Almutairi, Information Technology Department, College of Computer and Information Sciences Majmaah University, Al Majmaah, Saudi Arabia.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 3578-3583 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7678129219/2020©BEIESP | DOI: 10.35940/ijitee.B7678.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As more corporate users are moving from one country to the other it’s difficult for them to keep learning new languages as the duration of stay by corporate businessman’s is less but it’s important that when they arrive at any country for work they should be able to get their daily necessities and other shopping items in local languages. Here there is a catch that they cannot speak the local language to get the product. In this research we will be addressing this issues by giving them a tool which will identify the object in real time and internationalization the information for them by this process and using the tools provided they can get what they want in limited time frame which they stay in international countries. This research will help solve the problem of purchase of products from international market without knowing the local language of the country the solution will identify the objects in real time and then internationalize the information about the product which the customer wants to purchase also voice over will be added so that the object which is identified will be pronounced in the local language where the sale person will understand what the customer wants.
Keywords: Information Internationalization, Information Dissemn, Image Processing, Object Identification.
Scope of the Article: Signal and Image Processing