Automated Attendance Project Using Face Recognition

Last update: Jan 09, 2022

Overview

dependencies for project:

cmake 3.22.1
dlib 19.22.1
face-recognition 1.3.0
opencv-python 4.5.3.56
numpy 1.21.2

The project uses a pre recorded video to detect faces and mark attendance. In real life scenario, the attendance will be marked in real-time using a webcam.

The "images" folder has all the images of students. The "input-images" folder will have video.mp4 file from which we will recognize faces.You can add any video you may like.

Owner

Rohail Taha

React JS developer in love with clean and simple code.

GitHub Repository

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Automated Attendance Project Using Face Recognition

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