ClassVision: AI-Powered Classroom Attendance System

This research introduces ClassVision, an AI-powered system designed to automate attendance tracking in educational settings through the application of face detection and face recognition technologies. The system aims to replace traditional, human-intensive, and time-consuming manual attendance methods by utilizing real-time image processing and a user-friendly web interface.

Why it matters

Automating routine administrative tasks like attendance through AI can significantly enhance operational efficiency and reduce human resource allocation. This technological advancement allows organizations to redeploy personnel to more strategic activities, thereby optimizing resource utilization and potentially improving data accuracy for operational insights.

Key insights

• Traditional attendance methods (pen-and-paper, online platforms) are human-intensive and time-consuming.
• Face detection (FD) and face recognition (FR) technology can be leveraged to automate attendance processes.
• A proposed system, ClassVision, uses real-time image processing to identify and recognize individuals in classrooms.
• The system includes a human-computer interaction (HCI) and a user-friendly web interface for automated attendance recording.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.26173