PRAYUDA, MUHAMMAD SYAFIQ and Ubaya, Huda (2021) PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN MOBILENETV2 DAN SHUFFLENETV2. Undergraduate thesis, Sriwijaya University.
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Abstract
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%
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | rekognisi wajah, MobileNetV2, ShuffleNetV2 |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Mr. syafiq prayuda |
Date Deposited: | 25 Jan 2022 01:20 |
Last Modified: | 25 Jan 2022 01:20 |
URI: | http://repository.unsri.ac.id/id/eprint/62242 |
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