Smart-Attendance-Marking-System

Problem Statement :

Develop a Smart Attendance Marking System (SAMS) that can be used by colleges,schools and various organizations to facilitate the easy maintenance of the daily attendance records of students or employees.

Objective :

• To eliminate the tedious conventional method of manual attendance by calling out names of students by replacing it with a system which automates the process, thereby reducing the human errors.
• Facilitates the easy attendance management of students using Face Detection which is one of the most modern technologies.
• Provides a robust and stable attendance system which reduces the flaws of our existing system.

Libraries used :

cmake
dlib
opencv-python
face_recognition
cvzone
numpy
pickle
firebase

Steps involved so far :

• Importing the required libraries.
• Setting up the webcam and importing the required graphics.
• Creating the encoding generator.
• Implementing face recognition algorithms to show whether faces are correctly detected and matched or not.
• Setting up the database, here Firebase.
• Adding data to the database.
• Adding the images to the database.
• Updating the Real-time Database accordingly.

Demo of the System :

Database before starting the System -

Face Recognition & retrieving and displaying student's data from the Database -

Dynamically updating the Database as the student is marked -

Showing that the student is marked -

Displaying that the student is already marked after a specific interval of time -