Real Time Attendence Marking System Integrates Webcam
Abstract— This paper presents a novel approach to attendance management leveraging the YOLO (You Only Look Once) object detection framework for robust and efficient face recognition. Traditional attendance systems often rely on manual input or biometric methods, which can be time-consuming, error-prone, and intrusive. In contrast, the proposed system automates the attendance process by harnessing the capabilities of deep learning and computer vision techniques. The YOLO algorithm is employed for real-time detection and localization of faces within input images or video streams, enabling rapid and accurate identification of individuals. Keywords— Face Recognition, Attendance management, Real time management, Efficiency optimization, Image Processing
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-12
- DOI
- https://doi.org/10.5281/zenodo.15647880
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00