Smart Walking Stick for Visually Impaired People

2018 ◽  
Author(s):  
Shravan Mohite ◽  
Abhishek Patel ◽  
Milan Patel ◽  
Vaishali Gaikwad (Mohite)
Keyword(s):  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Walking Stick

scholarly journals Mobility Assistive Device for the Visually Impaired

2020 ◽  
Vol 6 (12) ◽  
pp. 129-133
Author(s):  
Puru Malhotra and Vinay Kumar Saini
Keyword(s):  
Real Time ◽  
Structural Design ◽  
Visually Impaired ◽  
Assistive Device ◽  
Raspberry Pi ◽  
Traditional Use ◽  
Smart Glasses ◽  
Visually Impaired People ◽  
Impaired People ◽  
Walking Stick

he paper is aimed at the design of a mobility assistive device to help the visually impaired. The traditional use of a walking stick proposes its own drawbacks and limitations. Our research is motivated by the inability of the visually impaired people to ambulate and we have made an attempt to restore their independence and reduce the trouble of carrying a stick around. We offer a hands-free wearable glass which finds it utility in real-time navigation. The design of the smart glasses includes the integration of various sensors with raspberry pi. The paper presents a detailed account of the various components and the structural design of the glasses. The novelty of our work lies in providing a complete pipeline for analysis of surroundings in real-time and hence a better solution for navigating during the day to day activities using audio instructions as output.

Design of a robotic walking stick with mobility assistance control technology (MAVI) for visually impaired people

2020 ◽  
Vol 27 ◽  
pp. 385-390
Author(s):  
Oscar Arteaga ◽  
C. Samanta Hurtado ◽  
Héctor C. Terán ◽  
Miguel A. Carvajal ◽  
Jorge G. Ortíz ◽  
...  
Keyword(s):  
Visually Impaired ◽  
Control Technology ◽  
Visually Impaired People ◽  
Impaired People ◽  
Walking Stick

scholarly journals Smart Ultrasonic Walking Stick for Visually Impaired People

2021 ◽  
pp. 680-687
Author(s):  
Manisha Gend ◽  
Sana Pathan ◽  
Charushila Shedge ◽  
Prof. D. P Potdar
Keyword(s):  
Visually Impaired ◽  
Ultrasonic Sensor ◽  
Blind People ◽  
Simple Method ◽  
Visually Impaired People ◽  
Impaired People ◽  
Maximum Range ◽  
Walking Stick

The study focus on a simple method of detecting the obstacle and route by using an ultrasonic sensor that can detect a hole or stair with maximum range about 2 meter. As we can see Blind people is having their trouble to do their life routines because they can’t see even a single things. With our idea, we want to help this kind of people to live their life freely. This ultrasonic blind stick have a several feature that surely can help this blind people to navigate routes and detect an obstacle that surely can make their life routines easier. The user just need to use the blind the normal blind stick , the different is , blind people can detect a hole or stair more faster and easily. Besides that, guardian or user of the blind waking stick can find their stick by remote if they misplaced them.

scholarly journals Experimental investigation of a novel walking stick in avoidance drop-off for visually impaired people

2019 ◽  
Vol 6 (1) ◽  
pp. 1692468
Author(s):  
Md Masum Billah ◽  
Zulkhairi Mohd Yusof ◽  
Kushsairy Kadir ◽  
Abdul Malik Mohd Ali ◽  
Haidawati Nasir ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Walking Stick

scholarly journals Hardware Design for Smart Walking Stick Supporting Neural Networks

2019 ◽  
Vol 8 (12S) ◽  
pp. 407-410
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
System Design ◽  
Visually Impaired ◽  
Hardware Design ◽  
Hardware System ◽  
Visually Impaired People ◽  
Video Frames ◽  
Impaired People ◽  
Walking Stick

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.

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