Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Vol 6 No 1 (2019): Jurnal Ecotipe, April 2019

PENGENAL WAJAH REAL TIME BERBIAYA RENDAH MENGGUNAKAN FPGA DIGILENT PYNQ-Z1 DENGAN METODE PCA

Arief Ainur Rafiq (Jurusan Teknik Elektronika, Politeknik Negeri Cilacap)
Pujono Pujono (Jurusan Teknik Elektronika, Politeknik Negeri Cilacap)
Eka Dyah Puspitasari (Jurusan Teknik Elektronika, Politeknik Negeri Cilacap)

Article Info

Publish Date
22 Apr 2019

Abstract

Nowadays, face recognition plays central role in monitoring, biometric, and security fields. This paper presents FPGA (Field Programmable Gate Array) using real-time architecture basis. It costs less for face recognition. The face recognition module recognizes faces that have been detected by video and then the data are processed by using eigenface or Principal Component Analysis (PCA) algorithm. The architecture is implemented in FDGA Digilent Pynq-Z1, while the proposed architecture is part of the system that can recognize faces in crowd with series of faces that have been set before. In the implementation, this system can be integrated in the real-time monitoring system in crowd (such as airport, bus station, railway station, and port) to identify threat source. It is hoped that it can also decrease the criminal activity.

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Journal Info
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Website

Abbrev

ecotipe

Publisher

Universitas Bangka Belitung

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

This scientific journal is called Jurnal Ecotipe (Electronic, Control, Telcommunication, Information, and Power Engineering) with clusters of science in the field of Electrical Engineering covering the field of Electronics, Control, Telecommunications, Information/Informatics, and Power Electricity. ...