Development of braille translation system/ Angelo R. Escala, Florence A. Grulla, Aaron Jerome C. Lim, and Clark Kent L. Ortiz.--

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This study presents the development of a Braille Translation System designed to assist
both visually impaired and non-disabled individuals by converting standard text into
Braille and speech. Despite advancements in assistive technology, challenges remain in
achieving high accuracy, speed, and precision in real-time text-to-Braille translation,
particularly with mobile-based implementations that integrate embossing. To address this
gap, the system incorporates Optical Character Recognition (OCR) for extracting text
from images, Text-to-Speech (TTS) for audio output, and a Braille translation feature
connected to a mini-embosser that prints tactile Braille on 200 gsm A4 paper. The app is
available for Android 13 and later versions and handles voice and text translation
instantly, using a simple user interface. During functional testing, we found that all the
features were working as intended, except our Braille scanner could be made more
efficient. Accuracy tests showed high recognition rates for text-to-Braille, text scanning,
and voice input, while precision and luminosity tests indicated that lighting conditions
affected Braille recognition effectiveness. The evaluation of embossing speed showed
that print quality was impacted by paper alignment. The results showed the system
performed well with a "Very Good" rating of 3.58, highlighting advantages and things
that could be improved, for example, making the system available for more devices and
increasing its accuracy. Integrating a mini-embosser in a mobile-based Braille system
shows how assistive technology helps people with visual impairments become more
included.