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Case Study

Face Recognition based Attendance System

Open Access Peer Reviewed Crossref DOI

Authors

  • Mahesh Basavaraj, Mohith P1
  • Sai Vrushabh R2
  • Shashank K Bharadwaj3

1234 Dayananda Sagar Academy of Technology and Management, Bengaluru, Karnataka, India.

Article Information

Published Online
May-August 2025
Pages
295-299
Article Type
Case Study
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Abstract

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Face recognition technology is widely utilized for identity, security, and authentication in a variety of sectors in the digital age. [12] Although it might not be as accurate as fingerprint or iris recognition, its non-intrusive and contactless nature makes it popular. Automated attendance marking in companies and educational institutions is a crucial application that addresses manual system inefficiencies including time consumption and proxy attendance. The four steps of this system are database building, face detection, face recognition, and attendance updating. It uses facial recognition to automate attendance. Real-time video streaming is employed for detection and recognition, and a student image database is established. The faculty is then automatically emailed with the attendance. [1].

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