FaceAttend and Face-recognition
These are competitors—both implement standalone face recognition-based attendance systems with similar core functionality, so users would choose one or the other based on code quality and features rather than use them together.
About FaceAttend
yogesh-kamat/FaceAttend
Attendance system based on face recognition
Implements dual-webapp architecture (admin/teacher portals) using Flask and MySQL, leveraging the `face_recognition` library (99.38% accuracy via dlib deep learning) for student enrollment and real-time attendance marking. Includes anti-spoofing detection via retrained TensorFlow Inception model to identify mobile phone presentations, and generates downloadable/editable Excel attendance reports with bulk email capabilities for parent/student notifications.
About Face-recognition
008karan/Face-recognition
Face recognition and its application as attendance system
Implements HOG-based face detection paired with FaceNet feature extraction for robust facial identification. Leverages Keras, Dlib, and OpenCV to build a complete pipeline from image preprocessing through face embedding generation and comparison. The modular architecture enables flexible deployment beyond attendance tracking, supporting custom recognition workflows and batch processing.
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