Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

Design and Build a Camera Directional Movement Control Device based on Sound Source Position Detection

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2022
Ahmad Syarif Hidayat, Wahyu Kusuma Raharja

Ahmad Syarif Hidayat and Wahyu Kusuma Raharja. Design and Build a Camera Directional Movement Control Device based on Sound Source Position Detection. International Journal of Computer Applications 183(51):40-47, February 2022. BibTeX

	author = {Ahmad Syarif Hidayat and Wahyu Kusuma Raharja},
	title = {Design and Build a Camera Directional Movement Control Device based on Sound Source Position Detection},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2022},
	volume = {183},
	number = {51},
	month = {Feb},
	year = {2022},
	issn = {0975-8887},
	pages = {40-47},
	numpages = {8},
	url = {},
	doi = {10.5120/ijca2022921931},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Webcam or web camera may be a computerized medium utilized for computers or portable workstations. Webcams work to capture pictures specifically, particularly amid gatherings and online instructing and learning forms that require face-to-face gatherings. The face-to-face assembly points to decide whether specialists and teachers are in a position and go to gatherings and the instructing and learning prepare well. However, the camera capture does not point to the user's confront and manually sets in its application. One way to overcome this is often by utilizing confront location and creating by taking after the position of the confront by utilizing confront following. The presence of Confront Following permits the capture of a confront concurring to the identified user is confronted so that it does not get to physically sets. So it is essential to plan an instrument that controls the development of the camera heading.The comes about of this consider are anticipated to assist with the issue of utilizing assembly determination cameras on Raspberry Pi devices and utilizing sensor sound to identify the nearness of assembly camera clients. The result is the utilization of 2 sound sensors to identify the nearness of the client, and the camera turns 180 degrees with a sound intensity of 74dB. The most excellent determination was gotten to induce the quality of utilizing confront following where the test was carried out at a determination of 160x128, 320x480, and 640x480 and got the finest comes about with a determination of 640x480 with a most significant confront discovery separate of 8 meters, and a determination of 160x128 getting the least comes about with a confront location of 1 meter.


  1. Bo Zhang, Jun Huang and Jinlong Lin, "A Novel Algorithm for Object Tracking by Controlling PAN/TILT Automatically," ICETC: 2nd International Conference on Intelligent System 2010, Vol. VI, pp.596- 602.
  2. Edavos, “ApaituWebCam”, 2021,
  3. Fachrur R, “Prototype Alat Pendeteksi Dini Gangguan Fuse Cut Out (FCO) di SistemKelistrikan PLN Menggunakan PZEM-004T, Sensor Suara, dan GPS Berbasis Arduino Mega dengan IoT”, Jurnal Teknik Elektro dan Komputasi (ELKOM), 2021.
  4. Gary Bradski and Adrian Kaehler, Learning OpenCV Computer Vision with OpenCV Library, O'REILLY Media, 2008.
  5. Indhu B and VPS Naidu, "Gimballed Camera Control for On-Point Target Tracking," American Research Journal of Electronics and Communication, Vol 1, 2015
  6. Kemdikbud, “PembelajaranTatapMuka”, 2021,
  7. Lienhart, Rainer and Jochen Maydt. "An extended set of haar-like features for rapid object detection." In: IEEE ICIP, Vol.1, pp 900-903 (2002).
  8. Marcelo R, “Real-Time Face Recognition: An End-to-End Project”, 2018,
  9. M. R. SamsulAriefin, C. S. (2014). SISTEM REAL-TIME UNTUK MANAJEMEN MOBIL ANTARKOTA MENGGUNAKAN NODE JS BERBASIS TCP/IP. Jurnal Coding SistemKomputer Universitas Tanjungpura, 20-30.
  10. P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Feature," Conference on Computer Vision and Pattern Recognition. IEEE Press, pp. 511–518, 2001
  11. R. Yosafat S, "Design and Implementation of Pan-Tilt Control for Face Tracking," IEEE International Conference on System Engineering and Technology (ICSET 2017), 2 - 3 October 2017
  12. RD. Kusumanto, “RancangBangun Camera Face Tracker DenganMenggunakanMetodeHaar-Like Feature Dan Pid,” JURNAL INTEGRASI Vol. 5, No. 1, 2013
  13. Rinaldy, “Pengendalian Motor Servo Yang TerintegrasiDengan Webcam Berbasis Internet Dan Arduino” JurnalInfotel Vol.5 No.2 November 2013
  14. Tim, "Face and Movement Tracking Pan-Tilt System with Raspberry Pi and OpenCV"
  15. Viola Paul, Jones Michael, "Robust Real-Time Face Detection," International Journal of Computer Vision 57(2), pp. 137-154, 2004


Face Tracking, Raspberry Pi, RaspiCam, Python, OpenCV.