International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Search Model Using Time Interval Variation to Identify Face Recognition Results

  • Choi, Yun-seok (Department of Computer Science, Dongduk Women's University) ;
  • Lee, Wan Yeon (Department of Computer Science, Dongduk Women's University)
  • Received : 2022.07.13
  • Accepted : 2022.07.17
  • Published : 2022.09.30
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Abstract

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.

Keywords

Acknowledgement

This research was supported by the Dongduk Women's University Grant, 2020

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