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.

Absensi deteksi wajah menggunakan Python

My graduation thesis project, awarded a 9.5/10, involved creating a student attendance management system for iOS devices that utilizes FaceNet facial recognition model for efficient and secure attendance tracking.

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.

Live Student Attendance by Face Recognition automates attendance using real-time face recognition. Features include visual student identification, a GUI, and automatic daily Excel attendance sheets.

Face Attendance Project with OpenCV