Artificial Intelligence-powered Attendance System Using Hamming Distance Algorithm and Biometric Authentication
Year: 2025
Type: article
Abstract: Education provides students with knowledge, hones their skills, and teaches them values. With this, active classparticipation is important for students’ academic journey. Student attendance is a crucial factor in determiningstudent academic performance, as it allows them to participate in class, gain proper knowledge, and have accessto learning materials. However, traditional attendance methods have become inefficient, as it takes a lot of timeto take and is prone to human error and fraudulent activities, including proxy signing. To address this problem,the proponents propose an attendance system that is integrated with radio-frequency identification (RFID) andfingerprint authentication, ensuring that only the students can verify their own attendance. With the use ofArduino Uno and the NodeMCU module, the system will be able to scan and compare attendance records storedin a central database. With the help of artificial intelligence (AI), the proposed attendance system is able tofeature an alert system that monitors student attendance and notifies the educators when students reach aspecified number of absences that makes them a candidate to drop out of school. The proposed system will betested in Doña Teodora Alonzo High School to determine its effectiveness and readiness to be implemented ineducational institutions.
Authors: Janzar Vaughn de Belen, Wynelle F. Quillo, John Denver B. Maglalang, Alan Christian R. Oduya, Ronald B. Fernandez
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7085513481
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