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Topic- Face Recognition Based Attendance system
Guided By- Prof.Ajay Jaiswal
Presented By-
Khushi Gond
Diksha Kushwah
FACERECOGNITION
ATTENDANCE SYSTEM
TABLE
OF
CONTENT
1 INTRODUCTION
2 HARDWARE & SOFTWARE
3 SYSTEM ARCHITECTURE
4 DATABASE DESIGN
5 ADVANCED FEATURES
7 CONCLUSION
8 FUTURE SCOPE
 Every college require an attendance system
to maintain record of present student.
 Face Recognition Attendance System is
developed for the Faculty to maintain
attendance record.
 It uses facial recognition technology to
identify the person’s facial features and
automatically mark attendance which is very
fast enough than previous method.
INTRODUCTION
HARDWARE SOFTWARE
Camera
Computer (i5, 8gb)
Hard Disk:- 1TB
Windows 10
Visual Studio Code
Python,MySQL
System architecture
DATABASE DESIGN
ADMIN
SAMPLE
IMPORT EXPORT
SAVE
UPDATE DELETE
RESET
STUDENT
DETAILS PHOTO
SAMPLE
TRAIN
DATA
ADVANCED FEATURES
 Before the development of this project. There
are many loopholes in the previous method
while taking attendance using old method
which caused many troubles to most of the
institutions.
 Therefore, the facial recognition feature
method is secure enough, reliable and
available for use.
 It saves time and lot of effort, especially if it is
a lecture with huge number of students
CONCLUSION
FUTURE SCOPE
 Some of the future enhancements that can be done to
this system are as follows:
 Facility of Defaulter list in which system update the defaulter
student.
 For students, we can develop a dedicated login page in
which they can see their details and attendance record
 In future we can update the modules like notices forstudent
and many more.
ThankYou!

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FACE RECOGNITION ATTENDANCE SYSTEM (1) (1).pptx

  • 1. Topic- Face Recognition Based Attendance system Guided By- Prof.Ajay Jaiswal Presented By- Khushi Gond Diksha Kushwah
  • 3. TABLE OF CONTENT 1 INTRODUCTION 2 HARDWARE & SOFTWARE 3 SYSTEM ARCHITECTURE 4 DATABASE DESIGN 5 ADVANCED FEATURES 7 CONCLUSION 8 FUTURE SCOPE
  • 4.  Every college require an attendance system to maintain record of present student.  Face Recognition Attendance System is developed for the Faculty to maintain attendance record.  It uses facial recognition technology to identify the person’s facial features and automatically mark attendance which is very fast enough than previous method. INTRODUCTION
  • 5. HARDWARE SOFTWARE Camera Computer (i5, 8gb) Hard Disk:- 1TB Windows 10 Visual Studio Code Python,MySQL
  • 9.  Before the development of this project. There are many loopholes in the previous method while taking attendance using old method which caused many troubles to most of the institutions.  Therefore, the facial recognition feature method is secure enough, reliable and available for use.  It saves time and lot of effort, especially if it is a lecture with huge number of students CONCLUSION
  • 10. FUTURE SCOPE  Some of the future enhancements that can be done to this system are as follows:  Facility of Defaulter list in which system update the defaulter student.  For students, we can develop a dedicated login page in which they can see their details and attendance record  In future we can update the modules like notices forstudent and many more.