Object Detection and Comparison of Different Shapes and Materials using Kinect


  • 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.


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


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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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