Static Vision Support: Leveraging YOLOv3 and Tesseract OCR for the Visually Impaired

People with visual impairments encounter various difficulties in navigating their environments autonomously.Traditional aids like canes and guide dogs offer only partial assistance, especially in detecting obstacles and reading text.The progress in computer vision technology presents hopeful remedies to tackle these issues by facilitating the identification of objects and text from images obtained through cameras.This paper introduces the creation of a system to assist the blind, leveraging the YOLOv3 object detection algorithm and the Tesseract OCR engine for text identification for static objects.The system incorporates these algorithms with multithreading functionalities to deliver real-time support to visually impaired individuals.