International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Assistive Reading Device For Visually Impaired Mrs. Suhasini, Mr. Akhilesh N , Mr. Harsath Vijayakumar ,Mr. Nikhil S, Mr. Rahul MR 1 Assistant Professor, Dept. of Computer Science and Engineering, Maharaja Institute of Technology,
Thandavapura
2,3,4, 5 Students, Dept of Computer Science and Engineering, Maharaja Institute of Technology, Thandavapura
---------------------------------------------------------------------***--------------------------------------------------------------------inclusivity and autonomy for visually impaired individuals Abstract -The intent of this study is to present a new
across various environments. By providing independent access to printed information, this technology enables users to engage more fully in educational, professional, and recreational activities. Additionally, the affordability and portability of the Raspberry Pi platform make this solution comprehensible to users, particularly in resourceconstrained settings.
Smart Reader system, to improve accessibility for those with visual impairments. Leveraging the versatile capabilities of Raspberry Pi, the system integrates both hardware and software components to facilitate real-time text recognition and audio output. Its hardware setup comprises a Raspberry Pi microcontroller, a camera module, and audio peripherals, ensuring a portable and efficient design. By employing computer vision techniques, the system extracts text from various textual materials, such as books, documents, and signs, and converts it into sound. Machine learning algorithms contribute to accurate text recognition, while natural language processing ensures coherent audio delivery. Future enhancements may concentrate on bolstering system resilience, broadening language support, and incorporating additional features to cater user requirements.
1.1 Objective The principal aim is to craft a portable and cost-effective solution proficient in real-time text recognition and audio output. This entails harmonizing hardware components, such as the Raspberry Pi device and a camera module, with software algorithms to adeptly extract and process text from printed materials. By harnessing computer vision techniques, textual data will be extracted by the system from images captured by the camera module to ensure precise recognition. OCR will subsequently interpret and identify the extracted text, ensuring the Smart Reader's performance is both reliable and efficient. Additionally, the system will incorporate natural language processing methods to convert identified text into clear audio output, making it easier for visually impaired individuals to understand. Rigorous testing will further validate the objectives, assessing the system's accuracy, usability, and effectiveness in augmenting accessibility for visually impaired individuals.
Key Words: Smart Reader, Raspberry Pi, Language support, real-time text recognition, Cost-effective.
1. INTRODUCTION People who have impaired vision encounter many challenges when it comes to accessing printed information, hindering their independence. Traditional methods like braille or audio recordings offer some solutions but often lack real-time access to dynamic text content. Leveraging modern computing advancements to develop assistive technologies presents a promising solution to bridge this gap.
2. PROPOSED SYSTEM The Smart Reader system relies on the Raspberry Pi device, which is economical and has versatile functionality as a single-board computerThe hardware configuration consists of a Raspberry Pi board, a camera module, and components that output audio, such as speakers or headphones.The software platform consists of an OCR (Optical Character Recognition) engine for text recognition and a TTS (Text-to-Speech) engine tailored to translate recognized text into spoken Kannada.
Raspberry Pi, a cost-effective and versatile creditcard-sized single-board computer, provides an optimal platform for developing assistive technologies. By incorporating hardware and software algorithms, this system intends to enable real-time text identification and audio output, enabling individuals with impaired vision to gain access to printed materials such as books, documents, and signs. The acquisition of text from images captured by a connected camera module can be facilitated by computer vision techniques. Subsequently, natural language processing techniques convert the recognized text into coherent audio output for seamless comprehension by the user. The progress of this Smart Reader system represents a noteworthy advancement in the promotion of
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