Automated Attendance System based on Facial Recognition using Adaboost Algorithm

Abstract

As the pandemic hits the world, our whole education system adapted to the new online system which has many perks and a few minor drawbacks. So to minimize all the flaws of the online education system we have made software that uses the Facial Recognition system for the attendance of the students. The approach is to use the AI Facial Recognition System, it uses the multiple layers and photos capturing technique to capture an accurate picture of a human face with help of Ai ML algorithms like AdaBoost, and Geometry-based algorithms. The given system is built on the TKINTER platform and has a PYTHON script and a SQL database to back it up. The system's algorithm compares images based on the values of the face in the database image and the real-time image taken in the system. To store the data of the users we have used pandas which feeds the input and output in Excel. Apart from this, we have some ML libraries which are pre-trained like haar cascade - for facial recognition and OpenCV. We needed to keep the software easy to use and small in size in which we succeeded by creating an admin authorization to add new students. We have put forward both our ideas and our abilities to create an “Automated Attendance System Based on Face Recognition.”