AI-Based Smart Attendance System with Face Recognition and QR Code

Attendance management is an essential task in educational institutions and organizations for monitoring participation

and maintaining records. Traditional attendance systems are often manual, time-consuming, and prone to errors such as proxy

attendance and inaccurate record keeping. To address these challenges, this paper presents an AI-Based Smart Attendance

System with Face Recognition and QR Code Technology that automates the attendance process while improving accuracy,

efficiency, and security. The proposed system integrates Artificial Intelligence (AI), computer vision, and QR code technology to

provide a reliable attendance management solution. Face recognition is implemented using deep learning and image processing

techniques to identify individuals in real time through a camera. The system captures facial features, compares them with stored

datasets, and automatically marks attendance for authenticated users. In addition, a QR code-based attendance module is

incorporated as an alternative verification method, enabling users to scan unique QR codes for attendance registration when

facial recognition is unavailable or affected by environmental conditions.