Skip to content

A Face Recognition Attendance System using Computer Vision is a system that automates the process of taking attendance by recognizing individuals through their facial features.

Notifications You must be signed in to change notification settings

Vinay152003/Face-Recognition-for-Attendence-System-using-Computer-Vision

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Face-Recognition-for-Attendence-System-using-Computer-Vision

A Face Recognition Attendance System using Computer Vision is a system that automates the process of taking attendance by recognizing individuals through their facial features.

Technologies and Libraries: -Face Detection: OpenCV, Dlib, MTCNN -Face Recognition: Face_recognition, OpenFace, FaceNet -Deep Learning Frameworks: TensorFlow, PyTorch, Keras -Web Frameworks: Django for building web-based interfaces

Challenges: -Lighting and Angles: Ensure robustness against varying lighting conditions and facial angles. -Privacy: Handle data with care, ensuring compliance with privacy regulations. -Accuracy: Fine-tune the model to minimize false positives and negatives.

About

A Face Recognition Attendance System using Computer Vision is a system that automates the process of taking attendance by recognizing individuals through their facial features.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published