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FRAMS: Facial Recognition Attendance Management System

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Advances in Computing and Data Sciences (ICACDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1613))

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Abstract

Student attendance monitoring is one of the most important activity in the education domain. In the traditional attendance system it is rollcall calling method which leads to human errors and chance of marking proxy attendance is very high. The teacher also spends a considerable amount of time on attendance task. This paper introduced new model Facial Recognition Attendance Management System (FRAMS) for marking students’ attendance through facial recognition. The machine learning algorithms are developed and proposed by the authors. Two models are created with train images of each students. The Face Detection and Face Recognizer models are developed in this study by using open source software libraries on static images. The experiment results show 90% accuracy is recorded by the model for marking the student’s attendance successfully. The model is comparing the images with different students and marking accordingly.

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Author information

Authors and Affiliations

  1. Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Model Colony, Pune, 411016, India

    Anagha Vaidya & Sarika Sharma

  2. Jaypee University of Engineering and Technology, Raghogarh-Guna, 473226, Madhya Pradesh, India

    Vipin Tyagi

Authors
  1. Anagha Vaidya
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  2. Vipin Tyagi
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  3. Sarika Sharma
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Corresponding author

Correspondence to Sarika Sharma .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

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Vaidya, A., Tyagi, V., Sharma, S. (2022). FRAMS: Facial Recognition Attendance Management System. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2022. Communications in Computer and Information Science, vol 1613. Springer, Cham. https://doi.org/10.1007/978-3-031-12638-3_32

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  • DOI: https://doi.org/10.1007/978-3-031-12638-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-12637-6

  • Online ISBN: 978-3-031-12638-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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