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dc.contributor.advisorAlam, Md. Zahangir
dc.contributor.advisorKarim, Risul
dc.contributor.authorHasan, Anik
dc.contributor.authorSharif, Nasrat
dc.date.accessioned2014-01-29T04:49:34Z
dc.date.available2014-01-29T04:49:34Z
dc.date.copyright2014
dc.date.issued2014
dc.identifier.otherID 09101024
dc.identifier.otherID 09201013
dc.identifier.urihttp://hdl.handle.net/10361/2899
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 34).
dc.description.abstractThis paper presents an automatic system which can detect road traffic and let blind people know about that so that they can easily cross the road. In the recent years, Android-driven mobile phones have got popularity among users and developers as well. In the first place, we have selected Android-driven phone to get the desired output. We have used real time image processing system to detect traffic condition of a road. To implement this, at first we needed a camera with good resolutions, a methodology which will give the decisions and last but not the least Internet connection. The captured image will run through the application and then the application automatically sends this information to the cloud. The cloud will automatically send information to the blind by internet whether it is safe to cross the road or not. Later, it became so complex that we had to change our path and decided to make a custom application which will automatically decide whether it is safe to cross the road or not by capturing instant images and process using OpenCV.en_US
dc.description.statementofresponsibilityAnik Hasan
dc.description.statementofresponsibilityNasrat Sharif
dc.format.extent35 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are 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.subjectObject recognition
dc.subjectOptical Flow
dc.subjectObject detection
dc.subjectRoad sign identification,
dc.subjectComputer science and engineering
dc.subject.lcshImage processing
dc.titlePedestrian crossing guide based on Android-Cloud platform for blind peopleen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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