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+# 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