Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Eka Dyah Puspitasari
Jurusan Teknik Elektronika, Politeknik Negeri Cilacap
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGENAL WAJAH REAL TIME BERBIAYA RENDAH MENGGUNAKAN FPGA DIGILENT PYNQ-Z1 DENGAN METODE PCA Arief Ainur Rafiq; Pujono Pujono; Eka Dyah Puspitasari
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 6 No 1 (2019): Jurnal Ecotipe, April 2019
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v6i1.1394

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.
Co-Authors Arief Ainur Rafiq Pujono Pujono