The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Login
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5

Skripsi

PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5

Pakomgan, Rafly - Personal Name;

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

The government requires people to wear face masks to reduce the transmission of the COVID-19 virus. Face recognition system becomes less effective at recognizing masked faces. In this research, a software is developed to recognize masked face in real-time using the YOLOv5 method. Training of the model was done with 9 different configurations of epoch and batch size, of which the best result was taken and used for testing. Testing was done using images and real-time input. The maximum accuracy of identification using image is 100% while the maximum accuracy of real-time identification is 64%. While running the experiment, it is found that the brightness of the room affects the performance of YOLOv5. When the brightness is drastically different, it is more difficult to identify the individual.


Availability
Inventory Code Barcode Call Number Location Status
2307003579T87125T871252023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T871252023
Publisher
Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022
Collation
xx, 334 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.307
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Aplikasi perangkat lunak
Jurusan Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • PENGENALAN WAJAH BERMASKER SECARA REAL-TIME MENGGUNAKAN METODE YOLOv5
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2025 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search