face recognition automatic attendance system

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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• raspberry pi
• webCam
• Powersupply
• wires and connector

• easy face detection and attendance system
• reduce the old school timetaking attendance process