The face is my expression
Identity. So I prepared an automated one
Face-based student attendance system
recognition. This system is very convenient in everyday life
Mainly security and monitoring applications
system. Airport security system uses face
Credits to identify suspects and CBI
(Central Bureau of Investigation) and FBI (Federal Bureau of Investigation)
Research Bureau) uses face recognition
Criminal investigation.
Video in our project
Framing is done by accessing the camera
Through a user-friendly interface. Face
Detection and segmentation from video frames
Use HOG (Directivity Gradient Histogram)
algorithm. Can be said in the first step or in preprocessing
On stage, the size of the image is scaled
To prevent or reduce loss
information.
Then "median filtering" is applied in the next step
Remove noise and then convert
From color images to grayscale images. Next, CLAHE (Contrast Limited Adaptive)
Histogram equation) is applied to the image
Increases the contrast of the image. Overall, I wrote the following program in Python
Take a photo from the database and create everything
Conversion required for detection and then
Check photos in video or in real time
Through user-friendly access to the camera
interface. After finding a successful match
Mark the name and time of the person inside
List of Participants.
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Component List
- raspberry pi
- webCam
- Powersupply
- wires and connector
Features
- easy face detection and attendance system
- reduce the old school timetaking attendance process
