Automated drug detection and location identification for visually impaired using image processing and voice commands

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Manylion Llyfryddiaeth
Prif Awduron:	Roy, Utshab, Rahman, Md. Ashikur, Hasan, Faysal Bin
Awduron Eraill:	Alam, Dr. Md. Ashraful
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	BRAC University 2018
Pynciau:	Drug detection Location identification Visually impaired Image processing Voice command
Mynediad Ar-lein:	http://hdl.handle.net/10361/9501

id	10361-9501
record_format	dspace
spelling	10361-95012022-01-26T10:10:36Z Automated drug detection and location identification for visually impaired using image processing and voice commands Roy, Utshab Rahman, Md. Ashikur Hasan, Faysal Bin Alam, Dr. Md. Ashraful Department of Computer Science and Engineering, BRAC University Drug detection Location identification Visually impaired Image processing Voice command This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (pages 33-34). This report proposed a system which will aid visually impaired to detect and locate medicine (drug) using voice commands. It is a challenge to build a system which will assist a person how has eye sight difficulties. So we took that challenge and tried to build a system which will able to locate any medicine location around that person’s surroundings. This system includes optical character recognition (OCR) and depth segmentation of Kinect sensor in order to process extraction of characters from frames in real time video. For extracting the text name of the medicine we tested several OCR engines which includes – Google-Tesseract-OCR, and Aspose-OCR. To process images we used emguCV which is a .NET wrapper of the Intel OpenCV image-processing library. In order to operate voice commands we used Microsoft speech recognition library. Finally, the system enables instructions which will guide a visually impaired person to find his/her medicine for daily usage. Utshab Roy Md. Ashikur Rahman Faysal Bin Hasan B. Computer Science and Engineering 2018-02-18T08:42:48Z 2018-02-18T08:42:48Z 2017-12 Thesis ID 13101217 ID 13101048 ID 13301127 http://hdl.handle.net/10361/9501 en BRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 35 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Drug detection Location identification Visually impaired Image processing Voice command
spellingShingle	Drug detection Location identification Visually impaired Image processing Voice command Roy, Utshab Rahman, Md. Ashikur Hasan, Faysal Bin Automated drug detection and location identification for visually impaired using image processing and voice commands
description	This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
author2	Alam, Dr. Md. Ashraful
author_facet	Alam, Dr. Md. Ashraful Roy, Utshab Rahman, Md. Ashikur Hasan, Faysal Bin
format	Thesis
author	Roy, Utshab Rahman, Md. Ashikur Hasan, Faysal Bin
author_sort	Roy, Utshab
title	Automated drug detection and location identification for visually impaired using image processing and voice commands
title_short	Automated drug detection and location identification for visually impaired using image processing and voice commands
title_full	Automated drug detection and location identification for visually impaired using image processing and voice commands
title_fullStr	Automated drug detection and location identification for visually impaired using image processing and voice commands
title_full_unstemmed	Automated drug detection and location identification for visually impaired using image processing and voice commands
title_sort	automated drug detection and location identification for visually impaired using image processing and voice commands
publisher	BRAC University
publishDate	2018
url	http://hdl.handle.net/10361/9501
work_keys_str_mv	AT royutshab automateddrugdetectionandlocationidentificationforvisuallyimpairedusingimageprocessingandvoicecommands AT rahmanmdashikur automateddrugdetectionandlocationidentificationforvisuallyimpairedusingimageprocessingandvoicecommands AT hasanfaysalbin automateddrugdetectionandlocationidentificationforvisuallyimpairedusingimageprocessingandvoicecommands
_version_	1814307981559332864

Automated drug detection and location identification for visually impaired using image processing and voice commands

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