Survey Paper on Automatic Student Attendance System Using Deep Facial Recognition

BHARTI NANA DURGADE; Ms. Pranita Argade; Ms. Ashwini Joshi; Ms. Ayesha Mujawar

Survey Paper on Automatic Student Attendance System Using Deep Facial Recognition

Authors: BHARTI NANA DURGADE, Ms. Pranita Argade, Ms. Ashwini Joshi, Ms. Ayesha Mujawar

Unique Paper ID: 169398
Volume: 11
Issue: 6
PageNo: 1238-1241

Keywords: facial recognition and detection pattern recognition etc

Abstract:
Both educators and school officials find that tracking student attendance is a tedious and time-consuming endeavour. We therefore considered using the most recent developments in machine learning to automate this operation. This article suggests a facial recognition and detection method for managing attendance. A camera takes pictures of the classroom all the time. Students' face traits are identified and extracted by a thorough examination of the taken pictures. After that, their identities are predicted by a pattern recognition model. The suggested architecture is validated by the experiment's outcomes. No human involvement is required in the process of recording the kids' attendance.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 1238-1241

Survey Paper on Automatic Student Attendance System Using Deep Facial Recognition

Available:https://ijirt.org/Article?manuscript=169398

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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