Face Recognition-Based Mobile Automatic Classroom Attendance Management System

2017 ◽  
Author(s):  
Refik Samet ◽  
Muhammed Tanriverdi
Keyword(s):  
Face Recognition ◽  
Management System

Secure Examination Management System for M-Learning (SEMS)

2017 ◽  
Vol 2 (2) ◽  
pp. 31-35
Author(s):  
Akshada Abnave ◽  
Charulata Banait ◽  
Mrunalini Chopade ◽  
Supriya Godalkar ◽  
Soudamini Pawar ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Interactions ◽  
Mobile Devices ◽  
Management System ◽  
Mobile Apps ◽  
Smart Phones ◽  
Examination System ◽  
Open Environment ◽  
Exchange Information ◽  
Personal Mobile Devices

M-learning or mobile learning is defined as learning through mobile apps, social interactions and online educational hubs via Internet or network using personal mobile devices such as tablets and smart phones. However, in such open environment examination security is most challenging task as students can exchange mobile devices or also can exchange information through network during examination. This paper aims to design secure examination management system for m- learning and provide appropriate mechanism for anti- impersonation to ensure examination security. The users are authenticated through OTP. To prevent students from exchanging mobile devices during examination, system re-authenticates students automatically through face recognition at random time without interrupting the test. The system also provides external click management i.e. prevent students from accessing online sites and already downloaded files during examination.

Application of "Face Recognition" Technology for Class Room Electronic Attendance Management System

2020 ◽  
Author(s):  
Chandra ◽  
Harjanto Prabowo ◽  
M. Feisal Fransditya M. ◽  
Meyliana ◽  
Michael Andrew Gunawan ◽  
...  
Keyword(s):  
Face Recognition ◽  
Management System ◽  
Class Room

scholarly journals Face Recognition and Database Management System for Event Participant Authentication

2021 ◽  
Vol 1916 (1) ◽  
pp. 012021
Author(s):  
R S Hariharan ◽  
Reema Agarwal ◽  
Madhurya Kandamuru ◽  
P Ashwath
Keyword(s):  
Face Recognition ◽  
Management System ◽  
Database Management ◽  
Database Management System

scholarly journals Automatic Attendance Management System under Unconstrained Video using Face Recognition

2020 ◽  
Vol 9 (10) ◽  
pp. 229-232
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Management System ◽  
Traditional Method ◽  
Surveillance Camera ◽  
Recognition Systems ◽  
End To End ◽  
Learning By Using

Attendance Management System under unconstrained video using face recognition technology has made a great variation from the traditional method of attendance marking system. This attendance management system has been developed under the domain of Deep Learning by using Face recognition. Automatic Attendance Management under unconstrained video using face recognition systems which automatically mark attendance by detecting end to end face from the frames obtained from live stream video of surveillance camera which placed in center of the classroom. From the recognized faces, it will be compared with stored images in database, then the attendance report will be generated and it also provides attendance reports to parents of the absentee’s student.

scholarly journals Face Recognition based Attendance Management System

2020 ◽  
Vol V9 (05) ◽  
Author(s):  
Smitha ◽  
Pavithra S Hegde ◽  
Afshin ◽  
Keyword(s):  
Face Recognition ◽  
Management System

scholarly journals Smart Attendance Management System Using Face Recognition

2021 ◽  
pp. 706-711
Author(s):  
K. V. Prasad Reddy ◽  
R. Chaitanya Latha ◽  
M. Lohitha ◽  
R. Sonia ◽  
A. B. Usha
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Face Recognition ◽  
Conventional Method ◽  
Management System ◽  
Reading And Writing ◽  
Manual Method

To Maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The smart attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain. There are many biometric processes, in that face recognition is the best method. Here we are using the computer vision which is a field of deep learning that is used for the camera reading and writing and using TkInter to create a GUI application.

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