Journal of The Korea Internet of Things Society
- Log In/Sign Up
- P-ISSN2799-4791
- KCI
Design of CNN-based Braille Conversion and Voice Output Device for the Blind
Abstract
As times develop, information becomes more diverse and methods of obtaining it become more diverse. About 80% of the amount of information gained in life is acquired through the visual sense. However, visually impaired people have limited ability to interpret visual materials. That's why Braille, a text for the blind, appeared. However, the Braille decoding rate of the blind is only 5%, and as the demand of the blind who want various forms of platforms or materials increases over time, development and product production for the blind are taking place. An example of product production is braille books, which seem to have more disadvantages than advantages, and unlike non-disabled people, it is true that access to information is still very difficult. In this paper, we designed a CNN-based Braille conversion and voice output device to make it easier for visually impaired people to obtain information than conventional methods. The device aims to improve the quality of life by allowing books, text images, or handwritten images that are not made in Braille to be converted into Braille through camera recognition, and designing a function that can be converted into voice according to the needs of the blind.
- keywords
- 시각장애인, CNN(Convolution Neural Network), 점자, 음성 인식, 사물인터넷, Blind, Convolution Neural Network (CNN), Braille, Speech Recognition, IoT
- Downloaded
- Viewed
- 0KCI Citations
- 0WOS Citations