BlindsEye_IoT

Vision is one of the most essential human senses and it plays the most important role in human perception about surrounding environment. Hence, over thousands of papers have been published on these subjects that propose a variety of computer vision products and services by developing new electronic aids for the blind. This report aims to introduce a proposed system that restores a central function of the visual system which is the identification of surrounding objects. This method is based on the local features extraction concept using Convolutional Neural Network layers followed by fully connected layers. The simulation results using YOLO v3 algorithm and key-points matching showed good accuracy for detecting objects. Thus, our contribution is to present the idea of a visual substitution system based on features extractions and matching to recognize and locate objects in images. For, the purpose of user tracking we are sending the person’s live environment and demographic data to his / her trusted contacts