Design of Security System with Face Recognition Using Arduino and OpenCv
Keywords:
Security System , Face Recognition , Arduino , OpenCv , IOTAbstract
Security system is the most developed technology today, various technologies such as from CCTV cameras, access door, encrypt password to use biometric technology. Biometric technology is a self-recognition technology using body parts and human behavior that has a certain uniqueness. One example of application of Biometric technology is face recognition or face recognition system. Security mengunkanan Biometric technology is very difficult to be broken in because every human has its own characteristics and uniqueness. Security system design using face recognition is using webcam camera, Laptop, Arduino device and OpenCv library. The webcam camera will be attached to the laptop, then the webcam receives an image input and proceeds to use the OpenCv library then the signal is sent to the Arduino device, if access is received the blue LED will light up if not the red LED will light up. How users can access a data using face recognition security system. The sample test takes the time delay required to receive the response from the camera, how much data is suitable but does not receive the appropriate response, the effect of distance to the camera, and the effect of the angle of the face. Testing the sample only until the LED lights menyalanya accordance with the access provided.
References
A. Aditya Shankar dan P.R.K.Sastry dan A. L.Vishnu Ram dan A.Vamsidhar, 2015, Finger Print Based Door Locking System, IJECS Volume 4 Issue 3 March, 2015 Page No.10810-10814.
Bayu, Setya dan Hendriawan, Achmad dan Susetyoko, Ronny, 2009, Penerapan Face Recognition Dengan Metode Eigenface Dalam Intelligent Home Security, Eepis Final Project.
[Cascade Classification, 2014, Accessed December 19, 2017. https://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html
Ecadio, 2015, Accessed September 28, 2017. http://ecadio.com/mengenal-dan-belajar-arduino-uno-r3
Metode Algoritma, 2013, Accessed Oktober 2, 2017. http://www.warriornux.com/membuat-lampu-led-berjalan-menggunakan-arduino-uno/
Handika, Yola Tri, 2014, Implementasi Metode Filter Gabor Dan Backpropagation Neural Network Pada Sistem Pengenalan Wajah Sebagai Personal Authentication
JANNAH, Miftachul, 2012, Sistem Pengenalan Wajah 2-D Menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation Dan Metode Eigenface Principal Component Analysis, Skripsi, Universitas Pendidikan Indonesia, Bandung.
Kurniawan, Dwi Ely, 2014, Sistem Identifikasi Biometrika Wajah Menggunakan Metode Gabor KPCA dan Mahalanobis Distance, JSINBIS (Jurnal Sistem Informasi Bisnis), Universitas Diponegoro, Semarang.
Isbadi, Urifan dan Risanuri , Hidayat dan Indah, Soesanti, 2010, Pengenalan wajah dengan metode eigenface, Jurnal Penelitian Teknik Elekro Vol 3 No.4 , FT Universitas Gajah Mada, Yogyakarta.
Maarik, Ardhi dan Shaztika , Sarah Shanaz dan Radhi, Muhammad S dan Juliani, Adek A. P, 2015, Object Trcaking menggunakan OpenCV dan Arduino, Laporan Tugas Akhir PPCD, Bogor Agricultural University, Bogor.
Maulana, Hari Rahmat, 2016, Pembacaan Plat Nomor Kendaraan Otomatis Menggunakan Kamera Berbasis OpenCv Dengan Metode Neural Network, Tugas Akhir, Politeknik Negri Batam, Batam.
Metode Algoritma, 2013, Accessed September 28, 2017. http://www.metode-algoritma.com/2013/06/algoritma-eigenface-pendeteksian.html
N. Putri dan G. Wikaria dan B. Widodo, Sistem Kontrol Akses Berbasis Real Time Face Recognition Dan Gender Information, Comtech, Vol.6 No.2 Juni 2015: 198-207.
Priawadi, 2012, Accessed September 24, 2017. http://www.priawadi.com/2012/09/opencv.html
Ramadani. Deni,2011, Aplikasi Perbandingan Algoritma Metode Fisherface Dengan Metode Eigenface Pada Sistem Pengenalan Pola Wajah, Skripsi, Universitas Komputer Indonesia, Bandung.
Sitorus, Givson Apsyan, 2016, Deteksi Wilayah Wajah Dan Pengenalan Wajah Menggunakan Webcam Berbasis OpenCv, Tugas Akhir, Politeknik Negri Batam, Batam.
S.V. Viraktamath, 2013, Face Detection and tracking using OpenCv, Thesij CNCE-0103540102.
Wariornux, 2016, Accessed September 29, 2017. http://www.metode-algoritma.com/2013/06/metode-eigenface-pengenalan-citra-wajah.html.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 International Journal of Advanced Visualization Technologies
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.