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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Automated drug detection and location identification for visually impaired using image processing and voice commands

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    13101217,13101048,13301127_CSE.pdf (1.705Mb)
    Date
    2017-12
    Publisher
    BRAC University
    Author
    Roy, Utshab
    Rahman, Md. Ashikur
    Hasan, Faysal Bin
    Metadata
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    URI
    http://hdl.handle.net/10361/9501
    Abstract
    This report proposed a system which will aid visually impaired to detect and locate medicine (drug) using voice commands. It is a challenge to build a system which will assist a person how has eye sight difficulties. So we took that challenge and tried to build a system which will able to locate any medicine location around that person’s surroundings. This system includes optical character recognition (OCR) and depth segmentation of Kinect sensor in order to process extraction of characters from frames in real time video. For extracting the text name of the medicine we tested several OCR engines which includes – Google-Tesseract-OCR, and Aspose-OCR. To process images we used emguCV which is a .NET wrapper of the Intel OpenCV image-processing library. In order to operate voice commands we used Microsoft speech recognition library. Finally, the system enables instructions which will guide a visually impaired person to find his/her medicine for daily usage.
    Keywords
    Drug detection; Location identification; Visually impaired; Image processing; Voice command
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 33-34).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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