SISTEM PENDETEKSI WAJAH DENGAN METODE VIOLA JONES MENGGUNAKAN ESP32-CAM

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I Made Yudi Candra Putra I Made Oka Widyantara I Gusti Agung Komang Diafari Djuni H

Abstract

Increased security in rooms that are confidential or require high privacy, is very much
needed. One way to increase this security is to use a security system that utilizes the biological
characteristics of facial images that are owned by every human being. The biological
characteristics of human facial images can be a solution for security systems in the room
because human facial images are difficult to imitate and modify by others. This study aims to
implement a security system for detecting human face images using the Viola Jones method
with the Haar Classification Feature. The Viola Jones method with the Haar Classification
feature 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 this
study showed that of the 4 objects used in human face images, the ideal distance when
detecting facial images was 30 cm, with a 100% success rate. While the level of slope tolerance
that has been detected is a maximum with a slope of 30° to the position of the face facing
straight ahead.

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How to Cite
YUDI CANDRA PUTRA, I Made; OKA WIDYANTARA, I Made; DIAFARI DJUNI H, I Gusti Agung Komang. SISTEM PENDETEKSI WAJAH DENGAN METODE VIOLA JONES MENGGUNAKAN ESP32-CAM. Jurnal SPEKTRUM, [S.l.], v. 9, n. 1, p. 94-102, apr. 2022. ISSN 2684-9186. Available at: <https://ojs.unud.ac.id/index.php/spektrum/article/view/88758>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/SPEKTRUM.2022.v09.i01.p11.
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