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All Journal Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics
Dheyaa Alhelal
Northern Technical University
Computer Science & IT Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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ASSAS: An automatic smart students attendance system based on normalized cross-correlation Ruaa H. Ali Al-Mallah; Dheyaa Alhelal; Razan Abdulhammed
Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i2.2746

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.
Co-Authors Ahmed Khazal Younis Nabeel Salih Ali Razan Abdulhammed Ruaa H. Ali Al-Mallah Salam Al-Khammasi