This pull request implements a face recognition system for managing employee attendance. Leveraging the Face-api.js machine learning library of the ML5.js , this system offers a seamless and secure method for tracking employee presence and absence.
Key Features:
Face Registration: Employees can register their facial Data securely within the system.
Real-time Recognition: The system performs real-time facial recognition to accurately identify employees.
Attendance Logging: Attendance records are automatically logged and timestamped upon recognition.
Comprehensive documentation accompanies this pull request, including installation instructions and usage guidelines in attached Readme file.
This pull request represents a significant milestone in developing the employee attendance management process. Thank you for your attention and collaboration in reviewing the model.
This pull request implements a face recognition system for managing employee attendance. Leveraging the Face-api.js machine learning library of the ML5.js , this system offers a seamless and secure method for tracking employee presence and absence.
Key Features:
Face Registration: Employees can register their facial Data securely within the system. Real-time Recognition: The system performs real-time facial recognition to accurately identify employees. Attendance Logging: Attendance records are automatically logged and timestamped upon recognition.
Comprehensive documentation accompanies this pull request, including installation instructions and usage guidelines in attached Readme file.
This pull request represents a significant milestone in developing the employee attendance management process. Thank you for your attention and collaboration in reviewing the model.