Modelling of a novel cost saving automated stand fan


  • Zulkhairi Mohd Yusof Universiti Kuala Lumpur British Malaysia Institute (UniKL-BMI)
  • Md Masum Billah University of Kuala Lumpur
  • Kushsairy Kadir Universiti Kuala Lumpur British Malaysia Institute (UniKL-BMI)
  • Taj Mahal Binti Hashim Universiti Kuala Lumpur British Malaysia Institute (UniKL-BMI)
  • Haidawati Nasir Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL-MIIT)





Human Position, Localize, Sensor Fusion, Fan.


In tropical forest countries like Malaysia where the normally temperature is 27℃ in most region it becomes very uncomfortable to live with-out a fan. Electric fan become electrical appliance that have been used widely in our daily life. By pressing switch button, we can operate ceiling fan or stand fan manually. In this research, we will develop a sensory system for detection of the presence of human and the position of human in a room. The sensory system will be embedded with stand fan. It will facilitate by automatically turn on/off the fan depends on the presence of human. Fan speed will also be controlled automatically depends on the environment temperature. Furthermore, it will also allow the fan to oscillate in a certain range depends on the motion or presence of numbers of human. The proposed automated fan will save approximate 50% operating cost by operating automatically only the presence of the subjects.




[1] M. K. (n.d.). Microcontroller Based Smart Fan System. Retrieved March 29, 2018, from

[2] T. A. (n.d.). Temperature Controlled DC Fan by using 8051 Microcontroller. Retrieved March 20, 2018, from

[3] Rahman, M. M., Radzi, M. F., & Sidek, S. N. (July 2015). Sensory and Control System for Smart Fan. Retrieved February 28, 2018.

[4] Halder, A. B. (2015). Ultrasonic Sensor Based Smart Fan. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 04(07), 5837-5843.

[5] R. M., S. R., Z., R., & P. K. (March 2013). Development of Automatic Person Detection System to Control AC Fan and Room Lights.

[6] Chapke, S. S., & S. M. (Jan 2016). Design of Energy Efficient Smart Fan. Retrieved February 22, 2018.

[7] J. Y., & Lee, S. S. (5 May 2014). Human Movement Detection and Identification Using Pyroelectric Infrared Sensors. Retrieved March 1, 2018.

[8] K. L. (March 2017). Automatic Speed Control and Human Tracking Fan Using Image Processing Using Matlab. Retrieved February 23, 2018.

[9] Lee, S. H., Li, Y. F., & V. K. (2004). Development of a Matlab-Based Graphical User Interface Environment for PIC Microcontroller Projects. Retrieved February 27, 2018.

[10] Rizman, Z. I., Yean, K. H., N. I., N. M., & Rabi'ah, N. H. (2013). Design an Automatic Temperature Control System for Smart Electric Fan Using PIC. Retrieved March 13, 2018.

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