Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/487
Title: Intelligent platform for visually impaired children for learning indoor and outdoor objects
Authors: Jayawardena, C
Balasuriya, B. K
Lokuhettiarachchi, N. P
Ranasinghe, A. R. M. D. N
Keywords: RNN
R-CNN
Speech Models
Computer Vision
Artificial Intelligence
Object recognition
Speech recognition
Convolutional neural networks
Issue Date: 17-Oct-2019
Publisher: IEEE
Citation: Cited by 1
Series/Report no.: TENCON 2019-2019 IEEE Region 10 Conference (TENCON);Pages 2572-2577
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.
URI: http://localhost:80/handle/123456789/487
ISSN: 2159-3450
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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