ANALISIS DAN PERANCANGAN SISTEM PENGENALAN WAJAH UNTUK KEAMANAN AKSES PADA BANGUNAN
Abstract
Face recognition system is a biometric identification technique that utilizes an individual's facial features as the main parameter. In general, the face recognition process includes three main stages: face detection, feature extraction, and face recognition. In this face recognition-based building access security system using hardware (Hardaware) and software (Software). The camera performance system captures the face that has been inputted in the software at several points of the installed camera, if one of the cameras captures the face then we can find out the face with the data that has been stored on the computer and if all the installed cameras do not capture one of the faces in the specified time interval then it is considered that the face is not recorded and can be said that the face is not recognized, this is certainly very useful for security in a building.
Downloads
References
B. Wara, R. Ramadhan, A. N. Jati, And U. A. Ahmad, “Implementasi Eigenface Untuk Pengenalan Wajah Pada Building Security System Berbasis Embedded Implementation Of Eigenface For Face Recognition,” E-Proceeding Eng., Vol. 3, No. 1, Pp. 764–770, 2016.
D. I. Bramantio, E. Susanto, And R. Nugraha, “Perancangan Dan Implementasi Keamanan Pintu Berbasis Design And Implementation Security Door With Face,” E-Proceeding Eng., Vol. 3, No. 1, Pp. 79–83, 2016.
E. Prasetyo And I. Rahmatun, “Face Recognition System Design With Expression Position And Variation Method Using Eigenface,” J. Univ. Gunadarma, No. January, 2016
O. Rizan And Hamidah, “Rancangan Aplikasi Monitoring Kamera Cctv Untuk Perangkat Mobile Berbasis Android,” Ti Atma Luhur J. Teknol. Inform. Dan Komput., Vol. 3, No. 1, Pp. 45–51, 2016.
P. B. S. Dodit Suprianto, Rini Nur Hasanah And Abstrak, “Sistem Pengenalan Wajah Secara Real-Time Adaboost, Eigenface Pca & Mysql,” J. Eeccis, Vol. 7, No. 2, Pp. 179–184, 2013.