RANCANG BANGUN SISTEM KEAMANAN PINTU RUMAH PURWARUPA DENGAN PENGENALAN WAJAH MENGGUNAKAN METODE TRIANGLE FACE

Authors

  • Muhammad Ibrahim Nursaid Jurusan Teknik Elektro, Politeknik Negeri Sriwijaya
  • Ahmad Taqwa Jurusan Teknik Elektro, Politeknik Negeri Sriwijaya
  • Sholihin - Jurusan Teknik Elektro, Politeknik Negeri Sriwijaya

DOI:

https://doi.org/10.34151/technoscientia.v13i1.3027

Keywords:

Face Recognition, Raspberry Pi, Triangle Face, Webcam

Abstract

We have already discussed the development of technology which is now opening fast, therefore for some people must anticipate this technological progress specifically on the security system section. Therefore the security system is gathered by various innovations created by humans. It is expected to get maximum results so that system break-ins do not occur that we do not expect. The security system that we will use is Face Recognition Biometrics Technology that is using various physical characteristics of humans. In its application, face recognition is done by using a camera or webcam to capture the image of someone who will later be stored in a database. In this study, a system designed to test someone using the Triangle Face method. Identifying faces is done by connecting features on a person's face such as the distance between the eyes, the distance on the left, the distance on the right, the left on the mouth, the distance on the right so that it will be created on the edge with the front and in front of the different. This system also uses a relay module and Solenoid Door Lock, to control a system that uses a Mini PC or called Raspberry Pi.

References

Lin, C. and Fan, K.C., 2009, Human Face Detection Using Geometri Triangle Relationship, Institute of Computer Science and Information, https://www. cin.ufpe.br/~rps/Artigos/Human%20Face%20Detection%20Using%20Geometric%20Triangle%20Relationship.pdf, diakses 1 Juli 2020.
Miftah, M. dan Aripin, 2016, Pengamanan Laptop Menggunakan Pengenalan Wajah Berbasis Triangle Face, Journal of Applied Intelligent System, 1(1): 22-35.
Sajati, H., 2015, Deteksi Obyek Menggunakan Haar Cascade Classifier, http://jati.stta.ac.id/2015/09/deteksiobyek-menggunakan-haar-cascade.html, diakses 1 Juli 2020.
Siregar, H.F.R., 2014, Penerapan Face Recognition pada Keamanan Folder Menggunakan Metode Eigenface, Skripsi, Program Studi Teknologi Informasi, Universitas Sumatera Utara.
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Published

01-08-2020

How to Cite

Nursaid, M. I., Taqwa, A., & -, S. (2020). RANCANG BANGUN SISTEM KEAMANAN PINTU RUMAH PURWARUPA DENGAN PENGENALAN WAJAH MENGGUNAKAN METODE TRIANGLE FACE. JURNAL TEKNOLOGI TECHNOSCIENTIA, 13(1), 44–48. https://doi.org/10.34151/technoscientia.v13i1.3027