Los puntos clave no están disponibles para este artículo en este momento.
Your proposal for an OCR-based smart book reader catering to the visually challenged fills a crucial need for affordable accessibility solutions, particularly given the global population of approximately 285 million visually impaired individuals, with a majority residing in developing countries. Leveraging a Raspberry Pi 3 board and Tesseract OCR technology, your device converts printed or handwritten text into machine-encoded text, enhanced by Computer Vision libraries like OpenCV for image preprocessing. Beyond text conversion, features such as obstacle detection via a smart stick and an emergency help button exhibit a comprehensive approach to addressing user needs. Integration with an Android app for location tracking adds an extra layer of safety. Challenges in optimizing OCR for handwritten text and potential expansions like language translation or cloud integration hold promise for further enhancing functionality. Overall, your project stands to significantly enhance access to information and safety for visually impaired individuals, particularly in underserved communities. Key Words: OCR-based smart book reader, Visually Challenged accessibility, Raspberry Pi integration, Tesseract OCR technology Computer vision
Keerthana TV (Wed,) studied this question.