Smart Attendance System using Face Recognition

Authors

DOI:

https://doi.org/10.4108/eetsis.5203

Keywords:

Computer Vision, Machine Learning, Face Recognition, Open CV, Facial feature extraction

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.

References

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Published

26-02-2024

How to Cite

1.
Viswanathan J, E K, S N, S V. Smart Attendance System using Face Recognition. EAI Endorsed Scal Inf Syst [Internet]. 2024 Feb. 26 [cited 2024 Apr. 20];. Available from: https://publications.eai.eu/index.php/sis/article/view/5203

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Section

Short communications