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.
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.
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.
A Python-based attendance system that uses Face Recognition to automatically mark attendance by detecting and recognizing faces from a live webcam feed.
Android source package for a mobile classroom attendance prototype using realtime face recognition.
Face Attendance Project with OpenCV
Low Cost Face Attendance System build using Nextjs (face-api.js) and Supabase
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