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Static Indoor Object Detection Using MATLAB For Visually Impaired

Pritam Shaha1 , Niranjan Kshatriya2 , Rahul Borse3

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 33-37, Aug-2016

Online published on Aug 31, 2016

Copyright © Pritam Shaha, Niranjan Kshatriya , Rahul Borse . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Pritam Shaha, Niranjan Kshatriya , Rahul Borse, “Static Indoor Object Detection Using MATLAB For Visually Impaired,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.33-37, 2016.

MLA Style Citation: Pritam Shaha, Niranjan Kshatriya , Rahul Borse "Static Indoor Object Detection Using MATLAB For Visually Impaired." International Journal of Computer Sciences and Engineering 4.8 (2016): 33-37.

APA Style Citation: Pritam Shaha, Niranjan Kshatriya , Rahul Borse, (2016). Static Indoor Object Detection Using MATLAB For Visually Impaired. International Journal of Computer Sciences and Engineering, 4(8), 33-37.

BibTex Style Citation:
@article{Shaha_2016,
author = {Pritam Shaha, Niranjan Kshatriya , Rahul Borse},
title = {Static Indoor Object Detection Using MATLAB For Visually Impaired},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {33-37},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1028},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1028
TI - Static Indoor Object Detection Using MATLAB For Visually Impaired
T2 - International Journal of Computer Sciences and Engineering
AU - Pritam Shaha, Niranjan Kshatriya , Rahul Borse
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 33-37
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Detection of indoor static objects by visually impaired without help of third person is a crucial task. The indoor object detection enables a visually impaired to settle on suitable and convenient choices of route to follow in an indoor area. Literature presents that methods such as Electronic Travel Aids (ETA), Augmented Reality (AR) and Navigation Assistance for Visually Impaired (NAVI) are used to assist visually impaired. These methods are expensive and involves overhead for every decision. This paper presents an algorithmic based model which uses machine learning technique. In the proposed methodology firstly, the database is prepared which consist of various images of objects to train the system. During the use, the image which is captured by the visually impaired is compared with entries of the database to detect the object. The experiments were conducted using MATLAB for image recognition and analysis.

Key-Words / Index Term

Image processing; Machine learning; Indoor object detection; Visually Impaired; Blind people; Navigation; Object recognition applications; MATLAB

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