Research Article
Face Recognition Based Attendance System using OpenCV
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357832, author={Anand R and Logesh S and Thirumeni M}, title={Face Recognition Based Attendance System using OpenCV}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={face recognition automated attendance tracking ai-powered attendance system image processing for attendance systems opencv-based face detection}, doi={10.4108/eai.28-4-2025.2357832} }- Anand R
Logesh S
Thirumeni M
Year: 2025
Face Recognition Based Attendance System using OpenCV
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357832
Abstract
In this article we are introducing a system for facial recognition–based attendance monitoring system that uses computer vision through OpenCV to automate attendance tracking under different conditions. The camera captures an image of the face, extracts unique features, and compares them with stored digital photographs to identify the individual. By leveraging facial recognition, the system improves the efficiency and accuracy of existing attendance methods while reducing issues such as impersonation and delays. Using OpenCV enables the system to adapt to dynamic environments such as offices, events, or classrooms. The solution is stable, convenient, and user-friendly, providing a standardized approach to automate attendance in organizational settings.
