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All Journal Jurnal SPEKTRUM
I Made Yudi Candra Putra
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Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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SISTEM PENDETEKSI WAJAH DENGAN METODE VIOLA JONES MENGGUNAKAN ESP32-CAM I Made Yudi Candra Putra; I Made Oka Widyantara; I Gusti Agung Komang Diafari Djuni H
Jurnal SPEKTRUM Vol 9 No 1 (2022): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.759 KB) | DOI: 10.24843/SPEKTRUM.2022.v09.i01.p11

Abstract

Increased security in rooms that are confidential or require high privacy, is very muchneeded. One way to increase this security is to use a security system that utilizes the biologicalcharacteristics of facial images that are owned by every human being. The biologicalcharacteristics of human facial images can be a solution for security systems in the roombecause human facial images are difficult to imitate and modify by others. This study aims toimplement a security system for detecting human face images using the Viola Jones methodwith the Haar Classification Feature. The Viola Jones method with the Haar Classificationfeature is suitable as a good visual recognition when detecting facial images via the ESP32-Cam microcontroller and for streaming video using a OV2640 camera. The test results in thisstudy showed that of the 4 objects used in human face images, the ideal distance whendetecting facial images was 30 cm, with a 100% success rate. While the level of slope tolerancethat has been detected is a maximum with a slope of 30° to the position of the face facingstraight ahead.
Co-Authors I G. A. K. Diafari Djuni Hartawan I Made Oka Widyantara