Tracking Objects using Artificial Neural Networks and Wireless Connection for Robotics

Authors

  • Johnny Mauricio Barreno Onate Departamento de Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador
  • Dario Jose Mendoza Chipantasi Departamento de Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador
  • Nancy del Rocio Velasco Erazo Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador

Keywords:

Feature Extraction, ANN, HSV, Wireless, Object Tracking,

Abstract

Tracking objects are used in many areas, and one of them is robotics. The goal in this work focuses on a robot that can follow an object that is in front of it. This application has two links: wireless and Bluetooth. The first one connects a mobile phone mounted on a robot for image acquisition and a personal computer (PC), and the second links a PC and a mobile robot to control the motors by open source, Arduino Board. The algorithm uses several patterns for training the Artificial Neural Network (ANN) and for object identification. Then, it is complemented by the extraction feature in Hue Saturation Value (HSV) color space. This algorithm uses C ++ language with OpenCV libraries for computer vision.

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Published

2017-03-15

How to Cite

Barreno Onate, J. M., Mendoza Chipantasi, D. J., & Velasco Erazo, N. del R. (2017). Tracking Objects using Artificial Neural Networks and Wireless Connection for Robotics. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-3), 161–164. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1763

Issue

Vol. 9 No. 1-3: Smart City Technology in Communication and Computer Engineering I

Section

Articles

License

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