The sample dataset consisting of some famous sports personalities is created. As the images are to be fed into the Convolutional neural network the images are cropped and stored in folders using HaarCasCade algorithm. Hence only primary features of images are fed into the CNN to get better accuracy. Lastly, when the image of testing dataset are marked as present or absent in the SQL database connected with python.
-
Notifications
You must be signed in to change notification settings - Fork 0
A sample dataset was created. Next, images in the dataset were cropped to get better facial recognition. Convolutional Neural Network was used to train the dataset. The SQL database was created consisting of student_id, student name, date, Present/Absent. Thus, when a student was detected on camera during a particular 1-hour period, then he/she …
Karansheth/Smart-Attendance-System-using-Face-Recognition
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
A sample dataset was created. Next, images in the dataset were cropped to get better facial recognition. Convolutional Neural Network was used to train the dataset. The SQL database was created consisting of student_id, student name, date, Present/Absent. Thus, when a student was detected on camera during a particular 1-hour period, then he/she …
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published