Face Recognition-Based Smart Attendance Monitoring System in Classroom

Artificial intelligence (AI) has rapidly infiltrated diverse sectors like agriculture, healthcare, banking, transportation, and education. This paper concentrates on education, specifically the time-consuming and vulnerable manual attendance process involving roll calls. To combat issues like proxy attendance, we present an innovative automated system utilizing facial recognition technology. Key components include the Histogram of Oriented Gradient (HOG) for robust facial feature detection and the Haar Cascade classifier for precise recognition. Data collection and preprocessing build a diverse student facial image dataset for model training. In real-time, the system captures live video feeds, accurately marking student attendance. Benefits encompass proxy attendance prevention, increased accuracy, and reduced administrative burden. The system is scalable and could integrate with student management systems, but ethical concerns surrounding privacy and data security must be addressed. In summary, AI’s integration into education shows great potential, and our facial recognition-based attendance system represents a pivotal advancement in overcoming longstanding attendance challenges.