Analysis of Smart Home Security System Design Based on Facial Recognition With Application of Deep Learning
RAFLY ATHALLA FARIZAN
Informasi Umum
Kode
23.04.3585
Klasifikasi
004.695 - Internet Telephony/Telepon Internet , Internet dan Cellphone
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Internet Of Things, Security Engineering,
Dilihat
307 kali
Informasi Lainnya
Abstraksi
<p>Currently, there is a growing interest in Smart home systems using the<br role="presentation" /> Internet of Things. One of the most important aspects of the Smart home<br role="presentation" /> system is the security capability of being able to easily lock and unlock doors<br role="presentation" /> or gates. The main problem in smart home security systems is the low accuracy<br role="presentation" /> and image processing delay of around 70% -65% in the experiments studied<br role="presentation" /> using the KNN and Decision Tree methods. . This proposal proposes the Deep<br role="presentation" /> Learning method which has an accuracy of 80% or more. The methods used<br role="presentation" /> in this final project research are 1. Literature study on SmartHome Security,<br role="presentation" /> 2. Perform analysis and performance, 3. Test Algorithms for CNN, DNN, and<br role="presentation" /> RNN. It is hoped that the proposed Deep Learning method can obtain facial<br role="presentation" /> recognition accuracy above 80%.</p>
<p><br role="presentation" /> Keywords: Smart Home Security ; KNN; Deep Learning;<br role="presentation" /> RNN;CNN;Decision Tree.<br role="presentation" /> </p>
<p> </p>
- CII4E4 - TUGAS AKHIR
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | RAFLY ATHALLA FARIZAN |
| Jenis | Perorangan |
| Penyunting | Satria Mandala |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
