Facial Recognition-Based Automatic Door Security System Integrated with Internet of Things for Smart Home Actualization

Billy Indrawan*, Deanova Ghivari Alzamora, Muhammad Shiddiq Rahmatullah, Alief Wikarta

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Conventional door lock uses physical keys, which is a well-known technology but it also has its flaws, including the possibility of getting stolen, misplaced, lost, or even getting duplicated. The popular solution to that is to use biometrics data, but most of them require special hardware that needs direct contact. Conventional door lock also doesn’t have any means of control and monitor for the owner, and when a crime happens it often doesn’t have enough evidence for an investigation to proceed. Therefore, we designed a system that can replace physical keys, has multiple layers of automatic security system, gives access to control and monitor, and also helps with criminal investigations. From the research and experiment conducted, it is obtained that the door security system using face recognition can replace physical keys with a false rate as low as 0%. The system has multiple layers of automatic security system as a smart home actualization. The system provides access to control and monitor for the owner with an average time response of 0.553 s while also unaffected by the distance. The security system can also help crime investigations by providing evidence through images and videos taken by the system.

Original languageEnglish
Title of host publicationRecent Advances in Mechanical Engineering - Select Proceedings of ICOME 2021
EditorsIvan Tolj, M.V. Reddy, Achmad Syaifudin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages360-368
Number of pages9
ISBN (Print)9789811908668
DOIs
Publication statusPublished - 2023
Event5th International Conference on Mechanical Engineering, ICOME 2021 - Virtual, Online
Duration: 25 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference5th International Conference on Mechanical Engineering, ICOME 2021
CityVirtual, Online
Period25/08/2126/08/21

Keywords

  • Door lock
  • Face recognition
  • False acceptance rate (FAR)
  • False rejection rate (FRR)
  • Security System

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