Intelligent platform for visually impaired children for learning indoor and outdoor objects
Date
2019
Authors
Jayawardena, C.
Balasuriya, B.K.
Lokuhettiarachchi, N.P.
Ranasinghe, A.R.M.D.N.
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Advisors
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Conference paper
Citation
IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019, vol.2019-October, iss.article no. 8929567, pp.2572-2577
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Conference Name
IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 (17 Oct 2019 - 20 Oct 2019 : Kerala)
Abstract
Using Artificial Intelligence and Computer Vision to assist Visually Impaired personal has been a topic discussed in recent years. Many researchers are focusing on combining several technologies to assist said individuals to perform day to day tasks. Although there are already many technologies being used as platforms to help these individuals, focus put on children who are aged in between 6 - 14 years is considerably less. Therefore; in this research we are focusing on how to use latest advancements of Region Based Convolutional Networks (R-CNN), Recurrent Neural Networks (RNN) and Speech models to provide an interactive learning experience to visually impaired children.
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Copyright 2019 IEEE