Talking Camera for Visually Impaired – A Review
Shital Patil
, Aishwarya Raut , Sagar Jaiswal
Artificial Intelligence, Text-to-Speech, Machine Learning, Computer Vision, Visually Impaired, Object Detection, NLP
It becomes difficult for blind people to do their daily work independently, but an enhancement in technology can help them in some way. In this context, the present work will focus on real-time recording to speech for the blind people. The purpose of this project is to make blind people do their work independently. This system will basically identify the objects around the user and convert the data in speech finally conveying the results to the user. To achieve this, we are using text to speech and Convolutional neural network integrated with YOLO architecture, which will ultimately enable the user to take live recording and detect the objects and hear text about them.
"Talking Camera for Visually Impaired – A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.132 - 134, December-2018, Available :https://ijsdr.org/papers/IJSDR1812022.pdf
Volume 3
Issue 11,
December-2018
Pages : 132 - 134
Paper Reg. ID: IJSDR_180852
Published Paper Id: IJSDR1812022
Downloads: 000347206
Research Area: Engineering
Country: Talegaon Dabhade, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
