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Automatic Attendance System Using Deep Learning Framework

  • Pinaki Ranjan Sarkar
  • Deepak Mishra
  • Gorthi R. K. Sai Subhramanyam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)

Abstract

Taking attendance in a large class is cumbersome, repetitive, and it consumes valuable class time. To avoid these problems, we propose an automatic attendance system using deep learning framework. An automatic attendance system based on the image processing consists of two steps: face detection and face recognition. Face detection and recognition are well-explored problems in computer vision domain, though they are still not solved due to large pose variations, different illumination conditions, and occlusions. In this work, we used state-of-the-art face detection model to detect the faces and a novel recognition architecture to recognize faces. The proposed face verification network is shallower than the state-of-the-art networks and it has achieved similar face recognition performance. we achieved 98.67% on LFW and 100% on classroom data. The classroom data was made by us for practical implementation of the complete network during this work.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pinaki Ranjan Sarkar
    • 1
  • Deepak Mishra
    • 1
  • Gorthi R. K. Sai Subhramanyam
    • 2
  1. 1.Indian Institute of Space Science and TechnologyThiruvananthapuramIndia
  2. 2.Indian Institute of Technology TirupatiTirupatiIndia

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