Object Detection and Comparison of Different Shapes and Materials using Kinect

Authors

  • Nancy Velasco Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.
  • David Rivas L. Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.
  • Eddie E. Galarza Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.

Keywords:

Kinect, Object Detection, LabVIEW Vision Toolkit, Microsoft Kinect SDK,

Abstract

This paper presents an algorithm for object detection and an evaluation of response with different shapes and materials using Kinect sensor. In order to develop this work, a new icon is done using LabVIEW. The depth image of the Kinect is processed by Artificial Vision Toolkit to indicate the distance to each object. Additionally, the application has an audio output in English and Spanish indicating whether an object is in the trajectory. Several tests were done, through which the performance of the proposal was verified.

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Published

2017-04-01

How to Cite

Velasco, N., Rivas L., D., & E. Galarza, E. (2017). Object Detection and Comparison of Different Shapes and Materials using Kinect. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-5), 97–100. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1843

Issue

Vol. 9 No. 1-5: Smart City Technology in Communication and Computer Engineering III

Section

Articles

License

Copyright (c) 2024 Journal of Telecommunication, Electronic and Computer Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)