Robust Attendance Management Using Face and QR Recognition

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@article{1704507,
      author = {Neelambika, Vaishnavi L, Laxmi, Dr Dayanand J},
      title = {Robust Attendance Management Using Face and QR Recognition},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {11},
      pages = {570-574},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704507.pdf},
      abstract = {In higher education institutions, student participation in the classroom is directly related to their academic performance. However, the majority of student attendance registration is still conventionally done, which is tedious and time- consuming, especially for those courses that involve large numbers of students. Over the years, attendance management has been conducted manually at most of the universities. To overcome the manual attendance issues, we proposed and implemented a smart and Robust attendance system with the aim to encourage the potential use of the Face Recognition and Quick Response (QR) code as a future attendance management system, to track and record student attendance in lectures and exercises for all relevant courses, and should be easy to apply and quick in recording attendance during a class session; by focusing on creating a simple student attendance tracking system that can be used to take attendance which is both fast and affordable in comparison to the other methods as an aim of this project.},
      month = {May},
  }