Smart Attendance System using Face Recognition

  • Viswanathan J
  • E K
  • S N
  • et al.
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Abstract

Face recognition offers a wide range of valuable applications in social media, security, and surveillance contexts. The software used for building facial recognition algorithms is Python and OpenCV. "Attendance using Face Recognition" is a method for tracking and managing attendance that makes use of facial recognition technology. By seamlessly integrating the 'Face Recognition' module, a native Python feature, and the OpenCV library, our system excels in accuracy and dependability. The system then stores attendance records in a database and provides real-time reports. In this article, we demonstrate how to create a face recognition system in Python utilizing the built-in "Face Recognition" module and the OpenCV library. Our results show that our system achieves high accuracy and robustness while being efficient and scalable, catering to a wide spectrum of educational institutions, organizations, and enterprises.

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APA

Viswanathan, J., E, K., S, N., & S, V. (2024). Smart Attendance System using Face Recognition. ICST Transactions on Scalable Information Systems, 11(5). https://doi.org/10.4108/eetsis.5203

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