Facial Recognition Attendance System using OpenCV with Realtime Database

Aim of the Project:
The main purpose of this project used to develop a face recognition attendance system connected to a real-time database to replace the traditional attendance system
Solution Approach:
Facial analysis is a technique that maps facial features like nose size, lips, space between the eyebrows, and the size of the forehead.
First the image is feed into the model before testing. After processing the image, the model then converts it into a matrix with numerical values corresponding to the facial features and stores it in the database.
Once the image is saved in the database, it can be tracked by the camera. The model can identify the person if they are already present in the database and the system will not identify people who do not appear in database.