3D Imprinting of the Environment for the Visually Impaired

The aim of this article is focused on the design of an obstacle detection system for assisting visually impaired people. A simple Time of Flight camera captures real time images present in the environment of the subject. These images are analysed using OpenCV and MAT Lab for depth and position of objects. The disparity map created is segmented into depth categories. 3 categories, namely, near, medium and far will determine which obstacles are of importance. A matrix of this data corresponding to the environment is created. According to this matrix, a temporary Three-Dimensional model of the surrounding is generated using actuators and blocks. The subject can then feel this model on a raised surface in order to work the path around the obstacles.