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An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System

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@article{IJASEIT13771,
   author = {Jiyoon Kim and Jimin Lee and Soohyeon Son and Jaejoon Kim},
   title = {An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {6},
   year = {2021},
   pages = {2527--2533},
   keywords = {Braille block; obstacle detection; Raspberry Pi; visual cognitive assistance system; visually impaired.},
   abstract = {There are many visually impaired people living their lives throughout the world. As of now, the only realistic tools available for these people are white sticks and guide dogs. However, these visual aids are insufficient for handling unexpected obstacles in various environments. Accidents tend to occur frequently, and these aids are very costly, thus limiting their usefulness for the visually impaired. This paper aims to develop a visual aid cognitive system and explores the possibility of practical performance. The overall system configuration uses the Raspberry Pi and OpenCV in real-time to capture braille block images and recognize the braille blocks' pattern. It also gathers information about the surrounding environment before conveying the information to the user.  In the first phase, the Go/Stop signal is determined by the linear or circular braille block according to the type of braille block. In the second phase, the visual aid system equipped with an ultrasonic sensor warns the user when encountering an obstacle so that the user can walk safely. We implemented a text recognition system based on a Text-to-Speech converter that transmits the text recognition information to the visually impaired and tested TTS function to read various street signs with various fonts. We lastly discuss the future possibility for our auxiliary system in various road environments and how it can be improved to help visually impaired people.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13771},
   doi = {10.18517/ijaseit.11.6.13771}
}

EndNote

%A Kim, Jiyoon
%A Lee, Jimin
%A Son, Soohyeon
%A Kim, Jaejoon
%D 2021
%T An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System
%B 2021
%9 Braille block; obstacle detection; Raspberry Pi; visual cognitive assistance system; visually impaired.
%! An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System
%K Braille block; obstacle detection; Raspberry Pi; visual cognitive assistance system; visually impaired.
%X There are many visually impaired people living their lives throughout the world. As of now, the only realistic tools available for these people are white sticks and guide dogs. However, these visual aids are insufficient for handling unexpected obstacles in various environments. Accidents tend to occur frequently, and these aids are very costly, thus limiting their usefulness for the visually impaired. This paper aims to develop a visual aid cognitive system and explores the possibility of practical performance. The overall system configuration uses the Raspberry Pi and OpenCV in real-time to capture braille block images and recognize the braille blocks' pattern. It also gathers information about the surrounding environment before conveying the information to the user.  In the first phase, the Go/Stop signal is determined by the linear or circular braille block according to the type of braille block. In the second phase, the visual aid system equipped with an ultrasonic sensor warns the user when encountering an obstacle so that the user can walk safely. We implemented a text recognition system based on a Text-to-Speech converter that transmits the text recognition information to the visually impaired and tested TTS function to read various street signs with various fonts. We lastly discuss the future possibility for our auxiliary system in various road environments and how it can be improved to help visually impaired people.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13771
%R doi:10.18517/ijaseit.11.6.13771
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 6
%@ 2088-5334

IEEE

Jiyoon Kim,Jimin Lee,Soohyeon Son and Jaejoon Kim,"An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 6, pp. 2527-2533, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.6.13771.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Kim, Jiyoon
AU  - Lee, Jimin
AU  - Son, Soohyeon
AU  - Kim, Jaejoon
PY  - 2021
TI  - An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 6
Y2  - 2021
SP  - 2527
EP  - 2533
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Braille block; obstacle detection; Raspberry Pi; visual cognitive assistance system; visually impaired.
N2  - There are many visually impaired people living their lives throughout the world. As of now, the only realistic tools available for these people are white sticks and guide dogs. However, these visual aids are insufficient for handling unexpected obstacles in various environments. Accidents tend to occur frequently, and these aids are very costly, thus limiting their usefulness for the visually impaired. This paper aims to develop a visual aid cognitive system and explores the possibility of practical performance. The overall system configuration uses the Raspberry Pi and OpenCV in real-time to capture braille block images and recognize the braille blocks' pattern. It also gathers information about the surrounding environment before conveying the information to the user.  In the first phase, the Go/Stop signal is determined by the linear or circular braille block according to the type of braille block. In the second phase, the visual aid system equipped with an ultrasonic sensor warns the user when encountering an obstacle so that the user can walk safely. We implemented a text recognition system based on a Text-to-Speech converter that transmits the text recognition information to the visually impaired and tested TTS function to read various street signs with various fonts. We lastly discuss the future possibility for our auxiliary system in various road environments and how it can be improved to help visually impaired people.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13771
DO  - 10.18517/ijaseit.11.6.13771

RefWorks

RT Journal Article
ID 13771
A1 Kim, Jiyoon
A1 Lee, Jimin
A1 Son, Soohyeon
A1 Kim, Jaejoon
T1 An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 6
YR 2021
SP 2527
OP 2533
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Braille block; obstacle detection; Raspberry Pi; visual cognitive assistance system; visually impaired.
AB There are many visually impaired people living their lives throughout the world. As of now, the only realistic tools available for these people are white sticks and guide dogs. However, these visual aids are insufficient for handling unexpected obstacles in various environments. Accidents tend to occur frequently, and these aids are very costly, thus limiting their usefulness for the visually impaired. This paper aims to develop a visual aid cognitive system and explores the possibility of practical performance. The overall system configuration uses the Raspberry Pi and OpenCV in real-time to capture braille block images and recognize the braille blocks' pattern. It also gathers information about the surrounding environment before conveying the information to the user.  In the first phase, the Go/Stop signal is determined by the linear or circular braille block according to the type of braille block. In the second phase, the visual aid system equipped with an ultrasonic sensor warns the user when encountering an obstacle so that the user can walk safely. We implemented a text recognition system based on a Text-to-Speech converter that transmits the text recognition information to the visually impaired and tested TTS function to read various street signs with various fonts. We lastly discuss the future possibility for our auxiliary system in various road environments and how it can be improved to help visually impaired people.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13771
DO  - 10.18517/ijaseit.11.6.13771