Reading Assistance System for Visually Impaired Using Raspberry Pi

The lack of ability to see the objects and text in real-life situation is one of the most problems for visual impaired peoples which, as a result, create limitations in having access to information and communicating with others. Despite providing an effective, method of reading, the Braille system is slow and burdens the reader with considerable effort to generate text. Thus, we introduce a new solution, a reading companion using RMVA technology, which flows from smart reading to fast reading, reading in all directions and collision avoidance reading, based on the Raspberry Pi to help them to read by easier way. The system uses a camera (a webcam or a mobile camera which is connected to a Raspberry Pi) for the acquisition of the printed text images. These images are preprocessed with techniques such as skew correction, segmentation, and feature extraction, and then Optic Character Recognition is carried out with the help of Tesseract OCR engine. The obtained text content is further converted into machine readable form and synthesized in audio by TTS synthesis in order to make the discrete blind users easily comprehend the text messages by recognizing their text content.