Designed and Implementing of Quadcopter Control Unit Capable of Tracking and Detecting Airplanes Types

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The goal of this study is to design and implement a new idea for air-launched quadcopter control unit using the digital video processing. In this study, it’s endeavored to transmit the captured videos by a camera embedded on the quadcopter via video transceiver and after pro-cessing, the ground station relays appropriate command to the quadcopter to tracking target. Moreover, it’s desired to detect a target in the sky and both stay in one direction until detect the target when intercepting toward the target and the quadcopter intercepts the target in every direction. In order to identify the type of aerial targets, the dimensions are studied at different intervals, which makes military and non - military goals detected at different intervals.



  • Keywords

    Quadcopter; Digital Video Processing; Video and Data Transceiver.

  • References

      [1] Naveenkumar. R, Pandiyan K, Prakash M, Saravanaperumal V, Jeya anusuya S,” Missile Burst Prevention and Tracking System Using Image Processing In MATLAB”, IJIRSET, Vol. 8, No. 2, (2019),

      [2] Vimal. M, Kumar. R, "Tracking of Ballastic Missiles and Velocity Measurement using Frame Distance Manipulation”, Conference on Advances in Communication and Control Systems, (2013),

      [3] Zhongyuan. C, Xiaoming. L, Wanchun. C,” Design of Real-Time Hardware-in-the-Loop TV Guidance System Simulation Platform”, International Journal of Aerospace Engineering, Vol. 2017, No. 11, (2017), pp. 1-16,

      [4] Jing. H, Ru. X, Ming, J, Guang. Z,” Application of Genetic Algorithm in Target Image Processing of TV Guided Missile”, International Conference on Electronic, Information and Computer Engineering, Vol. 44, (2016), pp. 4,

      [5] Kit. A, Ben. I, Michael. W, "A self-targeting missile system using computer vision”, MTRX 4700 Experimental Robotics Major Project University of Sydney.

      [6] Dorin. C, Peter. M, "Mean Shift: a Robust Approach toward Feature Space Analysis”, IEEE Transactions on Pattern Analysis and Machine Intelli gence, Vol. 24, No. 5, (2002),

      [7] K. Fukunaga, L. Hostetler,” The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition”, IEEE Transactions on Information Theory, Vol. 21, No. 1, (1975),

      [8] Xiangru. L, Zhanyi. H, Fuchao. W,” A note on the Convergence of the Mean Shift”, Pattern Recognition, Vol. 40, No. 6, (2007),




Article ID: 30188
DOI: 10.14419/ijet.v9i1.30188

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.