Abstract:
While science and technology have made great strides in making life easier for people, these
advancements have not been made equally in all spheres of life. Little has been done to give
visual aids to help blind and visually impaired people achieve academic brilliance and better
prospects, even though instruments are available to help them navigate their environment. By
creating a visual learning tool for the blind and visually handicapped, our project seeks to
close this gap. The created model uses a camera to first take pictures of printed text, which it
then transforms into digital text using Optical Character Recognition (OCR) and various
OpenCV pre-processing methods. Using Text-to-Speech (TTS) technology, the text is then
converted into speech output and transmitted to the user via earphones. The system is
composed. The system is composed of a power supply, camera, headphones, and Raspberry Pi
processor. The device provides a useful and effective solution to the academic and educational
needs of the visually impaired, improving their quality of life and prospects for the future.
Tesseract OCR and Mimic3 TTS technology allowed for accurate and efficient recognition
and synthesis of text, making this model useful in real-time to access and read printed
materials. This technology can help provide equal opportunities and promote the academic and
scholastic success of people who are blind or visually impaired with continued growth and
improvement.
