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dc.contributor.advisorSagor, Dr. Md. Hasanuzzaman
dc.contributor.advisorDas, Mr. Avijit
dc.contributor.authorAlam, Md. Sabbir
dc.contributor.authorFaisal, Bhuiyan Washek
dc.contributor.authorHasan, Mohammad Al Imran
dc.date.accessioned2018-01-21T06:18:19Z
dc.date.available2018-01-21T06:18:19Z
dc.date.copyright2017
dc.date.issued2017-12
dc.identifier.otherID 11121067
dc.identifier.otherID 11121078
dc.identifier.otherID 11121070
dc.identifier.urihttp://hdl.handle.net/10361/9115
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 57).
dc.description.abstractThe project is to develop a system, which use optical character recognition (OCR) software to detect words, line and paragraph, pronounce that accordingly. Furthermore to help a visually impaired people. We also added few extra features like voice control switching which execute with respect to given command. This system will help blind people with their daily necessary things. Seeing rising number electronic device made in different aspect of life, ICR system help listening text which are written on paper and help household switching control. Current systems, however, have problems with complexity, high costs, non-open sources and multiple incompatible standards. This project intends to design an open source, reasonably priced and way easy to use ICR, which will be done by interfacing the open source Arduino, Raspberry Pi microcontroller; creating a simple, easy-to-use system to help blind people. The project was carried out in quite a few stages. Firstly, Arduino is the first set for rolling paper on the tray for taking image of the document. Next, webcam will take image to the Raspberry Pi and matching image with its own library for filter and processing its word, text, line and paragraph. Intelligent character recognition is specially used for recognizing typed letter. Last of all, it will convert image as an audio file and gives output to the headphone. Blind people can listen the audio. We used power bank for its power. There are more extra feature added for better communication like home switching like controlling light on/off and fan on/off with the help of voice command.en_US
dc.description.statementofresponsibilityMd. Sabbir Alam
dc.description.statementofresponsibilityBhuiyan Washek Faisal
dc.description.statementofresponsibilityMohammad Al Imran Hasan
dc.format.extent57 pages
dc.language.isoenen_US
dc.publisherBARC Universityen_US
dc.rightsBRAC University thesis is protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectOptical Character Recognitionen_US
dc.subjectIntelligent Character Recognitionen_US
dc.subjectArtificial intelligenceen_US
dc.subjectVisually impaired peopleen_US
dc.titleIntelligent Character Recognition system for visually impaired peopleen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering 


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