Development of braille translation system/
Angelo R. Escala, Florence A. Grulla, Aaron Jerome C. Lim, and Clark Kent L. Ortiz.--
- Manila: Technological University of the Philippines, 2025.
- xii, 105pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
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.
Text-to-speech Mini-embosser Braille translation system