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      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Vocational School
      • UT - Computer Engineering Tehcnology
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      Implementasi Face Recognition pada Smart Door Lock System Menggunakan Algoritma MTMN dan Mobile Face Net

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      Date
      2025
      Author
      Gumay, Jimmy Mohamad Alpino Anak
      Wicaksono, Aditya
      Nasir, Muhammad
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      Abstract
      Latar belakang proyek akhir ini menekankan pentingnya pengamanan akses untuk melindungi infrastruktur dan data penting institusi. Sistem penguncian konvensional yang bergantung pada kunci fisik atau kartu akses memiliki kerentanan terhadap kehilangan, pemalsuan, dan penyalahgunaan. Oleh karena itu, pengembangan sistem keamanan berbasis biometrik yang dapat mengidentifikasi pengguna secara akurat menjadi sangat penting untuk meningkatkan keamanan. Dalam konteks ini, laporan ini membahas implementasi sistem Face Recognition pada Smart Door Lock System menggunakan algoritma MTMN dan Mobile Face Net. Tujuan dari praktik ini adalah merancang dan mengimplementasikan sistem kunci pintu cerdas yang mengontrol akses melalui pengenalan wajah pengguna yang terverifikasi. Metode yang digunakan mencakup pemanfaatan kamera untuk menangkap citra wajah dan pemrograman mikrokontroler yang mengolah data biometrik serta mengontrol mekanisme penguncian pintu menggunakan algoritma MTMN dan Mobile Face Net.
       
      This final project emphasizes the critical importance of access security in protecting the infrastructure and sensitive data of institutions. Conventional locking systems that rely on physical keys or access cards are susceptible to loss, forgery, and misuse. Therefore, the development of a biometric security system capable of accurately identifying users is essential for enhancing security. In this context, the thesis focuses on the implementation of a Face Recognition system within a Smart Door Lock System utilizing the MTMN and Mobile Face Net algorithm. The primary objective of this research is to design and implement a smart door lock system that controls access through the recognition of verified users' faces. The methodologies employed include the use of a camera to capture facial images and the programming of a microcontroller to process biometric data and manage the door locking mechanism using the MTMN and Mobile Face Net algorithm.
       
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      http://repository.ipb.ac.id/handle/123456789/168922
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      • UT - Computer Engineering Tehcnology [172]

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      Copyright © 2020 Library of IPB University
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      Contact Us | Send Feedback
      Indonesia DSpace Group 
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      Universitas Jember Digital Repository