An attendance management system for Moodle using student identification card and Android device

Author(s):  
Tsuyoshi Usagawa ◽  
Yuhei Nakashima ◽  
Yoshifumi Chisaki ◽  
Takayuki Nagai ◽  
Toshihiro Kita
2019 ◽  
Vol 8 (4) ◽  
pp. 2549-2554

Magnetic strip cards have very low storage mainly a few bytes and in general smart cards can store hundred times more information than magnetic. With more space to store information, smart cards can have more use and may be more versatile than magnetic cards, in addition to being a student identification card it could also be used to store monetary values such as a cash card for retail and as an access card to login to computers and enter rooms. Smart cards have the benefits of storing comprehensive records with the advantages of accuracy and reliability, in other words it can he seen as a mobile database.Our implementation will be very useful to trace the students for college gate, Hostel gate, Library, Transport, Academic attendance, Academic scores, Student details, Achievements. Once college administrator will store student details, staff details and authentication details after that student will be traced and information store automatically to concern database. Then the attendance IS sent to parents via SMS. Student’s will store their attendance via biometric fingerprint reader without staff intervention.


2021 ◽  
Vol 8 (2) ◽  
pp. 88-98
Author(s):  
Mohamad Fakir Naen ◽  
Muhamad Hariz Muhamad Adnan ◽  
Nurul Adilah Yazi ◽  
Chee Ken Nee

The creation of an attendance management system based on biometrics is proposed in this research. Keeping track of student attendance during lecture periods has proven to be a difficult task. Because human calculating creates errors and wastes a lot of time, the capacity to compute the attendance percentage becomes a key challenge. For this reason, a biometric-based attendance management system is being developed. This system uses a fingerprint device to take attendance electronically, and the attendance records are kept in a database. Following student identification, attendance is recorded. Artificial intelligence is also proposed as a component of the system. The system will aid in the reduction of errors and the more effective compilation of attendance data.


2016 ◽  
Vol 22 ◽  
pp. 328
Author(s):  
Joseph Aloi ◽  
Jagdeesh Ullal ◽  
Paul Chidester ◽  
Amy Henderson ◽  
Robby Booth ◽  
...  

2004 ◽  
Author(s):  
Nancy L. Grugle ◽  
Brian M. Kleiner ◽  
Nancy J. Wesensten ◽  
Thomas J. Balkin

Author(s):  
Pallavi Dharwada ◽  
Joel S. Greenstein ◽  
Anand K. Gramopadhye ◽  
Steve J. Davis

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