Open AccessHardware Design for Smart Walking Stick Supporting Neural Networks
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1102.10812s19
Subject(s) - obstacle , computer science , frame (networking) , enhanced data rates for gsm evolution , software , object (grammar) , artificial neural network , artificial intelligence , computer vision , real time computing , computer hardware , embedded system , telecommunications , political science , law , programming language
This paper aims to bring out the efficient hardware system design to be used in walking stick by the visually impaired people especially to support the cutting edge software technologies to assist in their mobility. It is designed in such a way that it is convenient to handle and also to perform heavier programs without any degradation in accuracy. Hardware design uses Rasberry pi3 Model B for finding the obstacle and to find the distance of the obstacle. Pi camera is used to capture the video frames and feed each frame for processing. For real time object detection, the proposed system uses neural network to train the images.