| 000 -LEADER |
| fixed length control field |
02713nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
ft8865 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251210152219.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
251210b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
T58.4 C33 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Cabangis, John Danreb R.; Sumaculub, Frits F.; Valluyas Jr. Peter M. |
| 245 ## - TITLE STATEMENT |
| Title |
Smart braille translator: Integrating braille-to-speech and speech-to-braille using raspberry PI |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
| Formatted contents note |
ABSTRACT: In the Philippines, an estimated 500,000 individuals experience visual impairments, with a considerable number lacking proficiency in Braille. This study aims to address challenges in developing a Braille translation system, specifically ensuring accurate recognition, interpretation, and conversion of Braille characters into text and speech. The primary concerns involve (1) how effectively the system identifies Braille patterns, (2) maintains accuracy in text conversion, (3) and scamlessly transforms text or speech into its respective braille pattern on the braille pad. To achieve these objectives, the system employs a Rasberry Pi 4 microcontroller, integrating Convolutional Neural Networks (CNN) for Braille character recognition, followed by Natural Language Processing (NLP) and Braille mapping techniques for precise translation. The researchers adopted the Agile Scrum methodology throughout the system’s development process. The development cycle was structured into sprints, each representing a distinct phase of progress. Every sprint encompassed key elements, including defining the project vision, maintaining backlogs using Trello for task management, planning, implementation, daily scrum meetings, reviews, retrospectives, and continuous development. During data collection, researchers engaged with respondents from the Philippine Blind Union community, revealing that many had only a fundamental understanding of Braille. These insights further emphasized the necessity of an efficient and accessible Braille translation system. The final system demonstrated full functionality, offering an effective tool for converting Braille into text and speech. By addressing the critical challenges in Braille translation, this study contributes to improving literacy and communication for visually impaired individuals, fostering greater independence and accessibility in their daily lives. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |