stdClass Object
(
    [id] => 16883
    [paper_index] => 202506-01-022760
    [title] => RASPBERRY PI BASED READER FOR VISUALLY IMPAIRED PERSON
    [description] => 
    [author] => Manoj Kumar, Pradeep A, Viggnesh J,Ayyappa Srinivasan M G
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => July
    [volume] => 11
    [issue] => 7
    [file] => fm/jpanel/upload/2025/July/202506-01-022760.pdf
    [abstract] => The creation and deployment of an intelligent reader system intended to help people with visual impairments access printed materials is presented in this research. Utilizing a push-button interface and Raspberry Pi technology, the system combines a text-to-speech engine for voice output, an optical character recognition (OCR) program for text extraction, and a high-resolution camera module for picture capture. Evaluations of the system's performance and functionality revealed dependable speech synthesis and image processing capabilities. The system's intuitive design and potential to improve autonomy and engagement in a variety of circumstances were emphasized in user feedback. Future advancements seek to increase voice synthesis quality, add sophisticated capabilities like real-time translation, and further improve text extraction speed and accuracy. Throughout the project, ethical issues pertaining to data security, privacy, and inclusive design were carefully taken into account. All things considered, the intelligent reader technology is a positive step in making the world more welcoming and accessible for people with visual impairments.
    [keywords] => Raspberry Pi, Optical Character Reader,Text To Speech
    [doj] => 2025-07-07
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 7
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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