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M. Faiq Ilman Fahmi
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Education Other

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Sistem Keamanan Pintu Berbasis Pengenalan Wajah Menggunakan Metode Fisherface Bekti Maryuni Susanto; Fendik Eko Purnomo; M. Faiq Ilman Fahmi
Jurnal Ilmiah Inovasi Vol 17 No 1 (2017): April
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jii.v17i1.464

Abstract

  Crime is one of the classic problems faced big city. One type of crime that is rampant today is theft. Many thieves go home using a duplicate key or use a special way to unlock the door. Therefore we need a tool that is able to anticipate the occurrence of theft, a system that uses a special key. Key that only identical by the owner of the house, one of which is the face. In this final project created a door security system using facial recognition as a key to opening the door. The method used in this tool is the method fisherface. The primary step in the introduction of this face, that face detection, PCA calculation, calculation of FLD. The security system consists of three main parts: a webcam, microcontroller arduino uno, and laptops as database storage. Image of the user's face will be taken by using a webcam. Captured images are stored in the laptop database and matched with the existing database. The results will feed into the microcontroller arduino whether the door is open or locked. Keywords: Door Security, Fisherface, Arduino
Co-Authors Bekti Maryuni Susanto Fendik Eko Purnomo