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.
CITATION STYLE
Hardware Design for Smart Walking Stick Supporting Neural Networks. (2019). International Journal of Innovative Technology and Exploring Engineering, 8(12S), 407–410. https://doi.org/10.35940/ijitee.l1102.10812s19
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