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PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN MOBILENETV2 DAN SHUFFLENETV2

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Penilaian

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Face recognition is one of the biometric recognition techniques. The technique of recognizing someone is done by utilizing a facial image which is then measured using mathematical calculations so that it can finally be recognized by the system. The face is also something that is definitely owned by humans and is also a factor to distinguish between humans from one another. Some systems use faces as objects for facial recognition systems and others. This study focuses on simple human face recognition using the MobileNetV2 and ShuffleNetV2 methods. Experiments were carried out with several different parameters ranging from Batch Size 16,32, and 64. In addition, several learning rates were used from 10e-5 to 10e-3. results Based on the results obtained from the tests that have been carried out, the ShuffleNetV2 method obtains results and accuracy of 86.90% and loss of 0.43%. and for GPU performance, the average performance when tuning is 20%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207000142	T62242	T622422022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T622422022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2022

Collation

xiv, 46 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.696 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Video Digital

Specific Detail Info

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Statement of Responsibility

SEPTA

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