The Face Recognition Based Attendance System aims to automate the traditional attendance tracking process using facial recognition technology. This system eliminates the need for manual attendance marking, providing a more efficient and accurate solution for educational institutions or organisations.
Functional Requirements:
User Registration:
Allow users to register using their email and password to gain access to the system's features and functionalities.
Login Page:
Users can log in with their email and password to use all the features of the system easily and safely.
Student Registration:
Users can register details like name, ID, and other important information easily, ensuring all necessary data is stored for each student. This makes the system efficient and organized.
Image Capture:
Users should be able to take pictures for facial recognition in the system. This ensures accurate identification and seamless operation.
Data Training:
Users should be able to train the system with student data and corresponding images for recognition.
pradeeprao31
commented
1 week ago
FACE-RECOGNITION-BASED-ATTENDANCE_SYSTEM
Introduction:
The Face Recognition Based Attendance System aims to automate the traditional attendance tracking process using facial recognition technology. This system eliminates the need for manual attendance marking, providing a more efficient and accurate solution for educational institutions or organisations.
Functional Requirements:
User Registration:
Allow users to register using their email and password to gain access to the system's features and functionalities.
Login Page:
Users can log in with their email and password to use all the features of the system easily and safely.
Student Registration:
Users can register details like name, ID, and other important information easily, ensuring all necessary data is stored for each student. This makes the system efficient and organized.
Image Capture:
Users should be able to take pictures for facial recognition in the system. This ensures accurate identification and seamless operation.
Data Training:
Users should be able to train the system with student data and corresponding images for recognition.