Skripsi

PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN METODE MOBILENETV2 DAN ARCFACE

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Penilaian

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When recognized in an image or photo, it is easy for us as humans, but not with a computer. In order to recognize a human face, special treatment is needed so that when given an input image or photo, the computer can recognize that face recognition is a face recognition technique. Biometrics utilizes an image of a human face which is then measured using a systematic calculation so that it can be recognized by the system. This study focuses on human face recognition using the MobileNetV2 and ArcFace methods. The experiment was carried out with 4 face classes and the highest success was able to recognize faces of 10 out of 10 recognized faces. While the tuning process performs 3 tests with different tuning parameter models where model 3 uses Batch Size 32 parameters, Learning Rate 10e-5, and 100 epochs. Based on the results of model 3 using MobileNetV2 and ArcFace to get an accuracy of 85% and a loss of 0.53%, and for GPU performance there is a simple model 2 which gets an average GPU performance during tuning of 24%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002670	T51733	T517332021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T517332021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021

Collation

xvi, 75 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.607

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Komputer
Komputer Grafis, Grafika Komputer, digital image

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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