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Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection
Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.
A computer vision project that uses the OpenCV library to detect human faces in real-time video streams, extract features from those faces, and recognize them. The project also includes attendance tracking functionality, where the system records the time that a recognized face is detected and uses that information to track attendance.