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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Smart Vision: Vision For The Visually Impaired

Disha Ghule, Shital Gaikwad, Ankita Jadhav,Sonali .N. Mhatre

DOI: 10.17148/IJARCCE.2022.11413

Abstract: Smart Vision is an assistant for blind people which provides the outline of their environment. The smart vision aims to bring the attractive world as a narrative to the visually impaired. The narrative is generated by converting the scenes within their surrounding to text which describes the important objects in the scene. samples of text include 'Children playing within the garden', 'people walking', 'Book kept on the table'. The keywords and one line is played within the variety of audio. Smart vision aims to produce this missing experience for them. The system uses state of the art deep learning techniques from Microsoft Cognitive Services for image classification and tagging. The experience is powered by the python voice assistant.

Keywords: Smart Vision, Deep learning, Microsoft Cognitive Services, image classification, voice assistant, tagging.

How to Cite:

[1] Disha Ghule, Shital Gaikwad, Ankita Jadhav,Sonali .N. Mhatre, “Smart Vision: Vision For The Visually Impaired,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11413