A Vision Module for Visually Impaired People by Using Raspberry PI Platform

The paper describes a vision based platform for real-life indoor and outdoor object detection in order to guide visually impaired people. The application is developed using Python and functions from OpenCV library and, ultimately ported upon Raspberry PI3 Model B+ platform. Template Matching is selected as method. More precisely, a multi-scale version approach is proposed to reduce the processing time and also to extend the detection distance range for accurate traffic sign recognition in indoor/outdoor environment. The experimental part addressed the finding of the optimum values for template and image source dimension, as well as the scaling factor.