International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Implement of an Automatic Class Attendance in All System using CNN-based Face Recognition

Author(s) NEHA JAIN
Country India
Abstract This era is a combination of modern and new technology. In this combination, many traditional problems are being solved. To solve these problems, the problems have been solved by using new technologies. Attending educational institutions has become an essential part of daily life but this work takes a lot of time, which causes a lot of trouble in the office and in such institutions, and where there are more workers, this problem increases even more and makes the person tired. Manually Biometric Present System is costly requirement for fingerprint recognition through voice and iris where as hardware support and auto present system recognition is done using face this feature is another biometric which can solve everything this time and Date also mentions which represents facial development Face Recognition and Attendance Entry Data Set Training which includes data entry with conversational technician This system can be used for daily attendance recording .It can achieve an average recognition accuracy of around 95%. The system can detect and identify faces of multiple individuals. Likes can also be recorded from the video stream, thereby avoiding human hassles and risks.
Keywords Face Detection and Recognition , Image Processing, Automatic Attendance.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-30
Cite This Implement of an Automatic Class Attendance in All System using CNN-based Face Recognition - NEHA JAIN - IJFMR Volume 7, Issue 1, January-February 2025.
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E-ISSN 2582-2160
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