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

Ruaa H. Ali Al-Mallah, Dheyaa Alhelal, Razan Abdulhammed


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.


Arduino; Attendance system; Cross-correlation; Face recognition; Normalization

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