Kipas Angin Pengikut Manusia Berdasarkan Wajah

  • Wahyudi Prasatia Electrical Engineering Study Program, Politeknik Negeri Batam
  • Kamarudin Kamarudin Electrical Engineering Study Program, Politeknik Negeri Batam

Abstract

Technological advances make the need for an automated system increases, one of which makes the fan can track the human automatically. In this study  to develop a fan system that can track human based on the face and can distinguish the face with other obstacles around it, so that humans do not need to manually set in directing the fan to get the wind from the fan. To detect human faces used cameras from android smartphones that have been integrated with the Haar Cascade detection method available in the OpenCV library. While to do tracking then used PID controller with Zigler Nichols tuning method which integrated with DC motor. Based on the results of experiments the system can track the human face with an average error of 4.14%, while testing on face detection has a 100% success rate in the face of the frontal. While the system can track human based on the face with 95% success. The error is caused by the mechanical system of dc motor gearbox and camera hardware position that is not straight to the face object.

References

[1] Bradski, Gary R. Learning OpenCV: computer vision with the OpenCV library. Farnham ; Cambridge: O’Reilly, 2008.
[2] P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001, pp. I-511-I-518 vol.1.
[3] V. Suhas kumbhar, P. Suhas Kumbhar, Vinod B. Kumbhar, Prashant P. Zirmite, Design and Implementation of an Electronic System for Identification
of Rebars in Reinforced Concrete, Vol. 03, Issue 12, 2016.
[4] Kamarudin dan Endra Pitowarno, “Kontrol 3D Inersia Berbasis Proportional Derivative Active Force Control (PDAFC)”, “The 3rd Indonesian Symposium on Robot Soccer Competition 2015”, June 2015.
[5] Kamarudin and E. Pitowarno, "2D independent actuator control based on a Proportional Derivative Active Force Control," 2015 International Electronics Symposium (IES), Surabaya, 2015, pp. 79-84.
[6] Ankit Rastogi and Pratibha Tiwari,”Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control Using Particle Swarm Optimization,” International Journal of Soft Computing and Engineering, Volume-3, Issue-2, May 2013.
[7] Dingy¨u Xue, YangQuan Chen and Chunna Zhao, “Fractional Order PID Control of A DC-Motor with Elastic Shaft:A Case Study,”Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006
[8] Saurabh Dubey, Dr. S.K. Srivastava, "A PID Controlled Real Time Analysis of DC Motor,International Journal of Innovative Research in Computer and Communication Engineering, Vol.1,Issue 8, October 2013.
[9] Dr. Jamal A. Mohammed, “ Modeling, Analysis and Speed Control Design Methods of a DC Motor” ,Eng. & Tech.Journal ,vol.29, no.1, 2011.
[10] Dr.Ch.Chengaiah, K.Venkateswarlu, "COMPARATIVE STUDY ON DC MOTOR SPEED CONTROL USING VARIOUS CONTROLLERS", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering,Vol.3, Issue 1, January 2014.
[11] Vivek Shrivastva, Rameshwar Singh, "Performance Analysis of Speed Control of Direct Current (DC) Motor using Traditional Tuning Controller", International Journal of Emerging Technology and Advanced Engineering, Vol 4, Issue 5, May 2014.
Published
2018-10-31