Majalah Ilmiah Teknologi Elektro
Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro

Pendeteksi Penggunaan Masker Wajah dengan ESP32Cam Menggunakan OpenCV dan Tensorflow

Putu Adhitya Santika Dharma (Unknown)
Komang Agus Widyatmika (Unknown)
I Nengah Suparta (Unknown)
I Made Sumerta Yasa (Unknown)
Anak Agung Ngurah Gde Sapteka (Unknown)

Article Info

Publish Date
13 Dec 2022

Abstract

The government's recommendation to wear masks daily is very important to avoid the Covid-19. This article analyzes the use of the ESP32 Cam as a mask detector, where proper use must cover the nose and mouth. The captured images can be retrieved and executed by a program created using Python. The OpenCV library is used to access the camera, while the TensorFlow library with training files in the datasheet performs mask detection. The experimental results of detecting masks in bright conditions show the fastest time is 1 second with an ideal distance of 1m and a maximum distance of 2.5m. On the other hand, in dark conditions, the fastest time is 2 seconds with an ideal distance of 1m and a maximum distance of 1.5m.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Majalah Ilmiah Teknologi Elektro
Website

Abbrev

mite

Publisher

Universitas Udayana

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Majalah Ilmiah Teknologi Elektro (MITE) is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include ...