Design of Smart Book Reader System for Blind People

Design of Smart Book Reader System for Blind People | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 23 January 2025 V1 Latest version Share on Design of Smart Book Reader System for Blind People Authors : Prabhakar Dorge [email protected] , Sachin Nagmote , Shamika Kharche , Bhagyashree Durge , Yash Bhonge , and Ganesh Khandre Authors Info & Affiliations https://doi.org/10.22541/au.173759813.34435019/v1 238 views 88 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In today’s world, an overwhelming amount of written content is available, making it impractical to convert everything into Braille due to the high costs and large volume. This limits access to vast amounts of scholarly material for the visually impaired. To address these challenges, this project introduces a compact, smart device that allows visually impaired users to access printed text effectively and efficiently. The device uses a camera-based assistive methodology and is implemented on a Raspberry Pi platform, making it a cost-effective and portable solution. The system combines Optical Character Recognition (OCR) and Text-to-Speech (TTS) technologies. The OCR module captures images of printed text through a camera, converting them into machine-readable text, which is then summarized in both English and Hindi using a generative AI model (Gemini). The summarized text is further converted to speech using Google Text-to-Speech (gTTS), enabling users to listen to the key points of the text in both languages. This system enhances accessibility and comprehension by providing a flexible, multilingual solution for the visually impaired, allowing them to access printed materials through real time audio playback. This type of system can be very useful for blind persons in their day to day life and can enjoy their life. Supplementary Material File (design of smart book reader system for blind people.doc) Download 240.00 KB Information & Authors Information Version history V1 Version 1 23 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords optical character recognition pattern determination raspberry-pi text to speech Authors Affiliations Prabhakar Dorge [email protected] Yeshwantrao Chavan College of Engineering Department of Electronics and Telecommunication Engineering View all articles by this author Sachin Nagmote St Vincent Pallotti College of Engineering and Technology View all articles by this author Shamika Kharche Yeshwantrao Chavan College of Engineering Department of Electronics and Telecommunication Engineering View all articles by this author Bhagyashree Durge Yeshwantrao Chavan College of Engineering Department of Electronics and Telecommunication Engineering View all articles by this author Yash Bhonge Yeshwantrao Chavan College of Engineering Department of Electronics and Telecommunication Engineering View all articles by this author Ganesh Khandre Yeshwantrao Chavan College of Engineering Department of Electronics and Telecommunication Engineering View all articles by this author Metrics & Citations Metrics Article Usage 238 views 88 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Prabhakar Dorge, Sachin Nagmote, Shamika Kharche, et al. Design of Smart Book Reader System for Blind People. Authorea . 23 January 2025. DOI: https://doi.org/10.22541/au.173759813.34435019/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! 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