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Proceedings Paper

Smart walking stick for blind people: an application of 3D printer
Author(s): Md. Allama Ikbal; Faidur Rahman; Md. Ripon Ali; M. Hasnat Kabir; Hidemitsu Furukawa
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Paper Abstract

A prototype of the smart walking stick has been designed and characterized for the people who are visually impaired. In this study, it was considered that the proposed system will alert visuallyimpaired people over the obstacles which are in front of blind people as well as the obstacles of the street such as a manhole, when the blind people are walking in the street. The proposed system was designed in two stages, i.e. hardware and software which makes the system as a complete prototype. Three ultrasonic sonar sensors were used to detect in front obstacle and street surface obstacle such as manhole. Basically the sensor transmits an electromagnetic wave which travels toward the obstacle and back to the sensor receiver. The distance between the sensor and the obstacle is calculated from the received signal. The calculated distance value is compared with the pre-defined value and determines whether the obstacle is present or not. The 3D CAD software was used to design the sensor holder. An Up-Mini 3D printer was used to print the sensor holders which were mounted on the walking stick. Therefore, the sensors were fixed in the right position. Another sensor was used for the detecting the water on the walking street. The performance for detecting the obstacles and water indicate the merit of smart walking stick.

Paper Details

Date Published: 24 April 2017
PDF: 6 pages
Proc. SPIE 10167, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017, 101670T (24 April 2017); doi: 10.1117/12.2265023
Show Author Affiliations
Md. Allama Ikbal, Univ. of Rajshahi (Bangladesh)
Faidur Rahman, Univ. of Rajshahi (Bangladesh)
Md. Ripon Ali, Univ. of Rajshahi (Bangladesh)
M. Hasnat Kabir, Univ. of Rajshahi (Bangladesh)
Hidemitsu Furukawa, Yamagata Univ. (Japan)

Published in SPIE Proceedings Vol. 10167:
Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017
Vijay K. Varadan, Editor(s)

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