📅 30 March 2023
DOI: 10.30646/sinus.v21i1.629
Deteksi Wajah Bermasker Menggunakan Deep Neural Network dan Tensorflow
Jurnal Ilmiah Sinus
Universitas Tiga Serangkai
📄 Abstract
The use of face masks is an important part of life in the midst of the Covid-19 pandemic which has been designated as a global pandemic, people are urged to cover their faces when in public areas to avoid the spread of the virus. The use of these face masks has raised serious questions regarding face detection systems. This study used Deep Neural Network and Tensorflow methods to detect faces both using masks and without masks. This study used two datasets, a face collection dataset without a mask and a face group using a mask. The result of this study was the detection of faces with masks trained on the dataset achieved 98% accuracy in training, and for testing got 100% accuracy on faces without masks, and 99.99% accuracy for face with mask.
🔖 Keywords
#deep neural network
#tensorflow
#face detection
#with masks and without masks
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 March 2023
Volume / Nomor / Tahun
Volume 21, Nomor 1, Tahun 2023
📝 HOW TO CITE
Prakoso, Rian Dwi Yulian; Sriyati, Sriyati; Makarim, Nabil; Witamajaya, Farrel; , "Deteksi Wajah Bermasker Menggunakan Deep Neural Network dan Tensorflow," Jurnal Ilmiah Sinus, vol. 21, no. 1, Mar. 2023.
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