Development of PEREA: A Raspberry Pi-Based Personal Reading Assistant for the Blind Persons / (Record no. 1760)

MARC details
000 -LEADER
fixed length control field 02750nam a22002897a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220622033913.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220622b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UM TA 1637
Item number G83 2018
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gualin, Antonio Jr. J., author.
9 (RLIN) 5542
245 ## - TITLE STATEMENT
Title Development of PEREA: A Raspberry Pi-Based Personal Reading Assistant for the Blind Persons /
Statement of responsibility, etc. Antonio J. Gualin Jr. and Nathaniel E. Luna.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rosario, Cavite :
Name of publisher, distributor, etc. Cavite State University-CCAT Campus,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 44 leaves :
Other physical details illustrations ;
Dimensions 28 cm
500 ## - GENERAL NOTE
General note Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and appendices.
520 ## - SUMMARY, ETC.
Thesis Abstract <a href="GUALIN, ANTONIO JR. J. LUNA, NATHANIEL E. Development of PEREA: A Raspberry Pi-Based Personal Reading Assistant for the Blind Persons. Design Project. Department of Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Kenneth J. Enrico. Technical critic: Allen Paul K. Aclan.<br/><br/>The study was conducted from August 2017 to May 2018 to develop PEREA, a raspberry pi-based personal reading assistant that can read a full text page of printed book and convert it in audible form for the blind persons. Specifically the study aimed to 1.) design and construct personal reading assistant using raspberry pi, pi camera and other materials: 2.) perform image analysis on scanned documents in order to convert texts files to audible format: 3.) evaluate the reading performance of the system; and 4.) conduct cost analysis of the project. <br/><br/>PEREA captures a full text page of the printed material, clean image through image processing, extract text from the cleaned image, and converts text into speech or audio. The developers evaluated PEREA in terms of font style, line spacing, font size, and font color. Punctuation marks and basic formatting were also evaluated based on how it will be read by the device. <br/><br/>Based on the results of the evaluation, there are some formats that are more accurate than other. Average processing time is around 120 seconds. This revealed some limitations of the system and arises some recommendations for the improvement of the study.">GUALIN, ANTONIO JR. J. LUNA, NATHANIEL E. Development of PEREA: A Raspberry Pi-Based Personal Reading Assistant for the Blind Persons. Design Project. Department of Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Kenneth J. Enrico. Technical critic: Allen Paul K. Aclan.<br/><br/>The study was conducted from August 2017 to May 2018 to develop PEREA, a raspberry pi-based personal reading assistant that can read a full text page of printed book and convert it in audible form for the blind persons. Specifically the study aimed to 1.) design and construct personal reading assistant using raspberry pi, pi camera and other materials: 2.) perform image analysis on scanned documents in order to convert texts files to audible format: 3.) evaluate the reading performance of the system; and 4.) conduct cost analysis of the project. <br/><br/>PEREA captures a full text page of the printed material, clean image through image processing, extract text from the cleaned image, and converts text into speech or audio. The developers evaluated PEREA in terms of font style, line spacing, font size, and font color. Punctuation marks and basic formatting were also evaluated based on how it will be read by the device. <br/><br/>Based on the results of the evaluation, there are some formats that are more accurate than other. Average processing time is around 120 seconds. This revealed some limitations of the system and arises some recommendations for the improvement of the study.</a>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
9 (RLIN) 527
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raspberry pi-based reader for blind.
9 (RLIN) 5543
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 5544
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raspberry pi (Microcontroller)
9 (RLIN) 5545
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Luna, Nathaniel E., author.
9 (RLIN) 5546
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Enrico, Kenneth J., adviser.
9 (RLIN) 5547
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Aclan, Allen Paul K., critic.
9 (RLIN) 5548
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis/Manuscripts/Dissertations
Classification part TA 1637
Item part G83 2018
Call number prefix UM
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Thesis/Manuscript/Dissertation Cavite State University - CCAT Campus Cavite State University - CCAT Campus TH 06/22/2022   UM TA 1637 G83 2018 T0004210 10/24/2025 1 copy 06/22/2022 Thesis/Manuscripts/Dissertations