Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Bulletin of Computer Science Research
Muhammad Chaska Putra Sofyan
Universitas Teknologi Yogyakarta, Sleman
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penggunaan Model Inceptionv3 Berbasis Transfer Learning untuk Mendeteksi Masker Wajah Secara Real-Time Muhammad Chaska Putra Sofyan; Joko Aryanto
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.865

Abstract

The use of face masks has become an essential health protocol to prevent the spread of infectious diseases. However, public compliance remains low due to the absence of effective automated monitoring systems. This study aims to develop a real-time face mask detection system using transfer learning with the InceptionV3 architecture. The model was trained on facial image datasets classified into two categories: mask and no mask. By leveraging the ability of InceptionV3 to extract complex visual features, the training process becomes more efficient without training the model from scratch. The system is integrated with a webcam to perform real-time detection in real environments. The testing results indicate that the model achieved an accuracy of 98.7%, with stable detection performance and real-time responsiveness. These findings highlight the strong potential of deep learning approaches to support automated and effective monitoring of public health protocol compliance.
Co-Authors Joko Aryanto