Real Time Smart Automated Attendance System through Face detection Method and LBPH Algorithm
Abstract
Every working area
whether it’s professional, industrial, or educational requires an attendance
report. Conventionally, this report is maintained manually through physical
means i.e., pen-paper. So if the amount of concerned attendants increases,
then, withholding to such attendance procedure will be a tedious job and might
result in over-consumption of time. These methods often constitute of human
errors resulting in non-verified attendance marking. In recent years, after the
advancement of automated environments, many perceptions with different
technologies were proposed for instance, biometrics via fingerprint detection,
iris detection or by using barcode as an ID. So the idea in fabricating the
below project is to generate a time efficient, cost efficient as well as error
free mechanism by using real time face detection and updating the attendance
automatically inside the MySQL database. The software constitutes the dataset
of students with their images which can be readily edited as well as updated.
These images can be uploaded by the administrator and the mentioned algorithm
detects the faces and compares it to the student image dataset in the
recognition phase. The corresponding attendance is thus fetched to the
database. This system rectifies the complications in physical record
maintenance and results in effortless yielding of attendance.
Country : India
1 Narsipudi Nagendra
Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
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