Earticle

초록

영어

Various types of attendance management systems are being introduced in a remote working environment and research on using face recognition is in progress. To ensure accurate worker’s attendance, a face recognition-based attendance management system must analyze every frame of video, but face recognition is a heavy task, the number of the task should be minimized without affecting accuracy. In this paper, we proposed a search model using time interval variation to minimize the number of face recognition task of recorded videos for attendance management system. The proposed model performs face recognition by changing the interval of the frame identification time when there is no change in the attendance status for a certain period. When a change in the face recognition status occurs, it moves in the reverse direction and performs frame checks to more accurate attendance time checking. The implementation of proposed model performed at least 4.5 times faster than all frame identification and showed at least 97% accuracy.

목차

Abstract
1. Introduction
2. Backgrounds
2.1 Attendance Management System
2.2 Face Recognition Tools
3. Proposed Model
3.1 Structure of Search Model
3.2 Movement Control with Time Interval
4. Case Study and Discussion
4.1 Case study
4.2 Discussion
5. Conclusion
Acknowledgement
References

키워드

저자

• Yun-seok Choi [ Professor, Department of Computer Science, Dongduk Women’s University, Korea ] Corresponding Author
• Wan Yeon Lee [ Professor, Department of Computer Science, Dongduk Women’s University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380