Raspberry pi based auto image description and converting to speech and text for visually impaired.
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This project uses a Raspberry Pi to develop an automatic document reader for visually impaired people. It uses a camera and speaker as interfaces to capture text images, perform optical character recognition using Tesseract to extract text, and then convert the extracted text to speech using Python for the user to hear. The Raspberry Pi, Tesseract library, OpenCV library and Python programming enable scanning documents, recognizing text from images, and generating audio output of the text.
Raspberry pi based auto image description and converting to speech and text for visually impaired.
- 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com Raspberry pi based auto image description and converting to speech and text for visually impaired. Abstract: This project is an automatic document reader for visually impaired people, developed on the Raspberry Pi processor board. It controls the peripherals like camera, a speaker which act as an interface between the system and the user. Optical character recognition (OCR) technology is used for the identification of the printed characters using image sensing devices and computer programming. The OCR process is done using online and offline methods. It converts images of typed or printed text into machine-encoded text. These encoded texts are then converted into the audio output (Speech).Raspberry Pi is used for the translation of printed document into data files using Tesseract library and Python programming. These data files are then computed by OpenCV library and Python programming language to get the audio output.