000			02750nam a22002897a 4500
003			OSt
005			20220622033913.0
008			220622b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TA 1637 _bG83 2018
100			_aGualin, Antonio Jr. J., author. _95542
245			_aDevelopment of PEREA: A Raspberry Pi-Based Personal Reading Assistant for the Blind Persons / _cAntonio J. Gualin Jr. and Nathaniel E. Luna.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2018
300			_axiv, 44 leaves : _billustrations ; _c28 cm
500			_aDesign Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504			_aIncludes bibliographical references and appendices.
520			_aGUALIN, 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. 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. 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. 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.
650			_aImage processing _xDigital techniques. _9527
650			_aRaspberry pi-based reader for blind. _95543
650			_aComputer vision. _95544
650			_aRaspberry pi (Microcontroller) _95545
700			_aLuna, Nathaniel E., author. _95546
700			_aEnrico, Kenneth J., adviser. _95547
700			_aAclan, Allen Paul K., critic. _95548
942			_2lcc _cT/M/D _hTA 1637 _iG83 2018 _kUM
999			_c1760 _d1760