There are 0 repository under face-attendance-system topic.
Attendance System using face recognition. Fully automated, UI operated. The model was trained using Keras Sequential layers and Softmax function at the output layer. The data is maintained in MongoDB and CSV at the backend. UI is created using Tkinter
NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) Flutter SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Pose Estimation
Face Recognition on NIST FRVT Top Ranked, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution
Face Recognition on NIST FRVT Top Ranked, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Linux
Face Recognition on NIST FRVT Top Ranked, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Windows
Smart Face Attendance System
Attention is a face recognition attendance system that automates the process of tracking attendance using facial recognition technology.
Some project with python
This ReactJS application manages a student attendance system that integrates with the companion iOS mobile app
Face Attendence project in which the Attendence is Automatically marked after Scanned the images of Students
The face attendance system uses facial recognition to automatically track attendance without the need for manual input.