An audio aided smart vision system for visually impaired

Abstract

With help of Image processing foundation, Optical Character Recognition can be handled to distinguish the content in a picture. This would be useful for visually impaired individuals by giving a sound indication to them. This work will be accomplished by utilizing Intel Edison and the application in the framework is composed in python with libraries of OpenCV. At the point when outwardly weakened individuals see the scene through webcam UVC module, which is associated with Intel Edison catch the picture. Captured picture will be handled by yocto module which based open source inside Intel Edison. At the point when the framework process an image, Yocto module would give relating directions to recognize message in a caught picture from the video stream, the framework would call the Bluez module and Alsa sound module to change the guidelines to voice through remote earphones.