Rancang Bangun Smart System Safety Doorlock pada Kamar Crew Kapal Menggunakan Face Recognition dengan Esp32 Wrover Cam

Security systems in the maritime sector are crucial for preventing criminal activities and theft on board ships. The physical key systems commonly used today have vulnerabilities that can be exploited by unauthorized individuals. This research aims to design and test a smart door lock system using facial recognition with the ESP32 Wrover cam and a 4x4 Keypad as an additional security measure. The test results show that the system successfully recognizes faces with a 90% success rate at a distance of 15-100 cm, although there is a decrease in efficiency when more than one face is registered. The system also demonstrated 100% success in

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Publication Details

Journal
Ocean Engineering Jurnal Ilmu Teknik dan Teknologi Maritim
Published
2024-08-30
DOI
https://doi.org/10.58192/ocean.v3i3.2509
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
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article

Rancang Bangun Smart System Safety Doorlock pada Kamar Crew Kapal Menggunakan Face Recognition dengan Esp32 Wrover Cam

Edi Kurniawan, Dyah Ratnaningsih, Pande Gede Agus Parsana Yudha
Ocean Engineering Jurnal Ilmu Teknik dan Teknologi Maritim
Computer Science and Engineering
article

Rancang Bangun Smart System Safety Doorlock pada Kamar Crew Kapal Menggunakan Face Recognition dengan Esp32 Wrover Cam

Edi Kurniawan, Dyah Ratnaningsih, Pande Gede Agus Parsana Yudha
article en

Abstract

Security systems in the maritime sector are crucial for preventing criminal activities and theft on board ships. The physical key systems commonly used today have vulnerabilities that can be exploited by unauthorized individuals. This research aims to design and test a smart door lock system using facial recognition with the ESP32 Wrover cam and a 4x4 Keypad as an additional security measure. The test results show that the system successfully recognizes faces with a 90% success rate at a distance of 15-100 cm, although there is a decrease in efficiency when more than one face is registered. The system also demonstrated 100% success in

Ocean Engineering Jurnal Ilmu Teknik dan Teknologi MaritimVol. 3(3)
Institut Sains dan Teknologi Terpadu Surabaya (ID)
Openalex Percentile: Top 73%
Computer Science and Engineering
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