Design and Development of IoT-Based Tracking for Humans using Arduino


  • Abiodun Afis Ajasa Department of Electronic & Computer Engineering, Lagos State University, Epe Campus, Lagos, Nigeria
  • Sophan Wahyudi Nawawi Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
  • Abiodun Emmanuel Abioye Department of Electrical/Electronic Engineering, Akanu Ibiam Federal Polytechnic, Unwana, Ebonyi, Nigeria


Technological advancement and innovation in the field of biometric identification technology and security of lives and properties have enabled the evolution of intelligent monitoring systems. In light of this, this paper intends to present the results of the hardware platform set up for the data collection of human tracking that would ultimately be integrated into the Kalman Filter Algorithm (KFA) to be developed in our further work. To provide a fast tool for creating a VLSI test bench, particularly for sensors, Arduino Mega 2560 was chosen and used as the heart of this hardware platform. As a consequence, its working principle and other applications were explored in this paper. Furthermore, since a two-dimensional Kalman Filter model would be developed, the positions and velocities of the object to be tracked (i.e., humans) were estimated in both x- and y-directions in a tabular form.




How to Cite

Ajasa, A. A. ., Nawawi, S. W. ., & Abioye, A. E. . (2021). Design and Development of IoT-Based Tracking for Humans using Arduino. ELEKTRIKA- Journal of Electrical Engineering, 20(2-2), 63–69. Retrieved from