Bulletin of Electrical Engineering and Informatics
Vol 10, No 2: April 2021

ASSAS: An automatic smart students attendance system based on normalized cross-correlation

Ruaa H. Ali Al-Mallah (Northern Technical University)
Dheyaa Alhelal (Northern Technical University)
Razan Abdulhammed (Northern Technical University)



Article Info

Publish Date
01 Apr 2021

Abstract

A smart student attendance system (SSAS) is presented in this paper. The system is divided into two phases: hardware and software. The Hardware phase is implemented based on Arduino's camera while the software phase is achieved by using image processing with face recognition depended on the cross-correlation technique. In comparison with traditional attendance systems, roll call, and sign-in sheet, the proposed system is faster and more reliable (because there is no action needed by a human being who by its nature makes mistakes). At the same time, it is cheaper when compared with other automatic attendance systems. The proposed system provides a faster, cheaper and reachable system for an automatic smart student attendance that monitors and generates attendance report automatically.

Copyrights © 2021






Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...