A Method on Dynamic Kinematics in Detecting Objects and Humans for the Visually Impaired and Disabled People

Authors(1) :-Dr. I. Lakshmi

The human eye is the organ of vision. This essential organ of eyesight plays a predominant role not only in life but also the human body. People who have no vision feel very difficult to detect the objects. In addition to it, there are voice messages which are attached to any device and are provided to the blind people for more convenience such that they can hear the messages in real time. There are many other technologies available where a system can detect an obstacle. KINECT is a motion sensing device which helps the end users to interact conveniently with the computer or any console by using gestures and speech. XTION PRO is another device which calculates the depth information of real time objects and humans. There are many technologies which have been implemented especially for the blind. This paper briefs about how KINECT and XTION PRO is useful for the blind in detecting objects and humans. The two main approaches are detecting objects and human beings. Depth information have been applied for detecting objects and humans. The work is focused mainly to minimize the errors, to improve accuracy and also examines how Artificial Intelligence can be helpful for the blind.

Authors and Affiliations

Dr. I. Lakshmi
Assistant Professor Department of Computer Science, Stella Maris College Chennai, Tamil Nadu, India

Artificial Intelligence; Kinect; Xtion PRO; RANSAC; RGB-D

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 471-476
Manuscript Number : CSEIT183193
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. I. Lakshmi, "A Method on Dynamic Kinematics in Detecting Objects and Humans for the Visually Impaired and Disabled People", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.471-476, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183193

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