Skip to content

In Face recognition faces are detected in the image and then these detected faces are compared with the database for verification, if a match is found attendance is marked with exact date and time .This marked attendance is stored in csv file. I have developed this face recognition Attendance system using Python. It is connected to an SQL databa…

Notifications You must be signed in to change notification settings

ibrahimsaleem/Face-Recognition-Attendance-Software

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Face-Recognition-Attendance-Software

In Face recognition faces are detected in the image and then these detected faces are compared with the database for verification, if a match is found attendance is marked with exact date and time .This marked attendance is stored in csv file. I have developed this face recognition Attendance system using Python. It is connected to an SQL database to store student details and attendance information. OpenCV and PIL libraries are used to capture the faces of student and store them in an image file. LBPH Face recognizer algorithm is used which is one of the easiest algorithms for face detection. HaarCascade frontal face algorithm is used which identifies the faces in an image. Tkinter is used to create user interface and datetime library is used to record attendance in real time. This recorded attendance can be exported using an excel or csv file.

IMG-8787

Here is my friend Saad Ahmed Demonstration the Project in This Video -

FRAS.Video.MOV

About

In Face recognition faces are detected in the image and then these detected faces are compared with the database for verification, if a match is found attendance is marked with exact date and time .This marked attendance is stored in csv file. I have developed this face recognition Attendance system using Python. It is connected to an SQL databa…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published