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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM18242

Third -Eye Aid for Blind

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM18242

Volume:

7 |

3 |

Mar 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

Amisha Surywanshi

UD

Umesh Dige

SP

Shifa Pansare

OT

Omkar Ture

PNJ

Professor. Neelam Jadhav

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Abstract

Visually impaired people face lot of difficulties in their daily life. Many a times they rely on others for help. Several technologies for assistance of visually impaired people have been developed. Among the various technologies being utilized to assist the blind, Computer Vision based solutions are emerging as one of the most promising options due to their affordability and accessibility. Thus a solution for such people is proposed by an efficient technique like machine learning algorithm. In order to access machine learning technique, the necessary data input are obtained using a technique called Image Classification. The proposed system captured as images using camera and then converted into audio signals for assisting blind People. Raspberry Pi 3B+ is used to implement artificial vision using python language on the Open CV platform.

KEYWORDS

Blind assistant Image to audio conversion Machine Learning YOLO V3 Python.

Cite This Article

Amisha Surywanshi, Umesh Dige, Shifa Pansare, Omkar Ture, Professor. Neelam Jadhav, "Third -Eye Aid for Blind," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 3, Mar 2023.

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Publication Date

3/25/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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