ARCHIVES

Abstract: Accompanying the visually impaired on their orientation is an arduous task that has attracted the attention of many researcher. Most blind people in the world use a white cane to get from one place to another. Because they are blind, they cannot perceive their surroundings. Therefore, the movement of visually impaired people is restricted. The aim of this project is therefore to build a navigation system that can safely and easily guide visually impaired people in indoor and outdoor environments. In this work, an assistive system based on yolo is developed to inform the blind how many persons are around and how far they are from the blind person. In this work, the support system for blind recommended, let him know what's around him, using YOLO to detect the object in the image and fast video stream based on deep neural network for correct detection and Open CV in Python and basically a Integrated Machine Learning System that allows the blind victim to identify and classify real time objects generating voice feedback and distance.