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

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 51
Year of Publication: 2022
Authors:
Ahmad Syarif Hidayat, Wahyu Kusuma Raharja
10.5120/ijca2022921931

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

@article{10.5120/ijca2022921931,
	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 = {http://www.ijcaonline.org/archives/volume183/number51/32276-2022921931},
	doi = {10.5120/ijca2022921931},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

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Keywords

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