International Journal of Research Studies in Educational Technology
Divine Word College of San Jose Special Issue
Volume 9, Issue Number 1
Available Online: 5 May 2025
Author/s:
Recio, Clifford Jaz M.*
Divine Word College of San Jose, Philippines (cliffordjazcj@gmail.com)
Agas, John Patrick R.
Vergino, Dianne Faith P.
Encaya, Dann Teresa Alejandra D.
Lirio, Aleczi Frenchezka A.
Bernabe, Maica M.
Ferranco, Dwayne Llex Gian T.
Bautista, Josephine N.
Galay-Limos, Jenny A.
Abstract:
This study employed a developmental evaluative experimental research design to develop an Arduino Uno-based automated text-to-Braille converter to assist visually and auditory impaired individuals in learning and reading Braille. Additionally, it serves as a tool for converting printed materials into Braille for accessibility. The device has several key components, including an Arduino Uno Board, breadboard, MOSFETs, jumper wires, power supply, ESP32 Camera, solenoids, rectifier diodes, and polywood for structural support. Due to the lack of available respondents, researchers conducted direct observations based on predefined research problems. When performing a test on whether the accuracy of text-to-Braille conversion is affected by the different text contrasts, ranging from high to medium to low contrast. Out of 5 attempts, respectively, the high contrast resulted in 100%, the medium contrast resulted in 80%, and the low contrast resulted in 20%. Findings indicate that the device efficiently converts various text formats into Braille. However, certain factors, such as text contrast, image quality, and character recognition accuracy, may affect conversion precision. These limitations highlight areas for improvement in future designs. To enhance performance, researchers recommend using a higher-resolution camera for improved image processing and a Raspberry Pi to eliminate reliance on a laptop, making the device more portable. Integrating AI-based character recognition could also significantly refine text-to-Braille conversion accuracy, ensuring more transparent and precise translations. Future studies may also explore optimizing the device’s hardware and software components to improve efficiency and accessibility. These advancements may contribute to a more reliable, user-friendly tool for Braille education and accessibility.
Keywords: text-to-Braille converter, visually impaired, visual auditory impaired, Arduino Uno, 6-dot system
DOI: https://doi.org/10.5861/ijrset.2025.25013
Cite this article:
Recio, C. J. M., Agas, J. P. R., Vergino, D. F. P., Encaya, D. T. A. D., Lirio, A. F. A., Bernabe, M. M., Ferranco, D. L. G. T., Bautista, J. N., & Galay-Limos, J. A. (2025). Arduino Uno-based automated text-to-braille converter using the 6-dot system: An assistive technology solution. International Journal of Research Studies in Educational Technology, 9(1), 199-208. https://doi.org/10.5861/ijrset.2025.25013
* Corresponding Author