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All Journal Majalah Ilmiah Teknologi Elektro Matrix : Jurnal Manajemen Teknologi dan Informatika Logic : Jurnal Rancang Bangun dan Teknologi Majalah Ilmiah Teknologi Elektro
I Made Sumerta Yasa
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : Majalah Ilmiah Teknologi Elektro

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Pendeteksi Penggunaan Masker Wajah dengan ESP32Cam Menggunakan OpenCV dan Tensorflow Putu Adhitya Santika Dharma; Komang Agus Widyatmika; I Nengah Suparta; I Made Sumerta Yasa; Anak Agung Ngurah Gde Sapteka
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P01

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.
Co-Authors Anak Agung Ngurah Gde Sapteka Djoko Suhantono I Wayan Sudiartha Komang Agus Widyatmika Prof. Dr.I Nengah Suparta,M.Si . Putu Adhitya Santika Dharma