Attendance System Using Face Recognition

Attendance System Using Face Recognition

Mudassiruddin Ikramuddin1, Faizan Ahmad Mohd Yunus2, Mohd Shahid Ahmad 3, Dr.S.K Nanda4

1Student, P. R. Pote Patil College of Engineering & Management, Amravati 2Student, P. R. Pote Patil College of Engineering & Management, Amravati 3Student, P. R. Pote Patil College of Engineering & Management, Amravati  4Professor, P. R. Pote Patil College of Engineering & Management, Amravati

ABSTRACT— The conventional attendance system consists of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is an important point of concern in this system. We have thought of revolutionizing it using digital tools available in the modern era, such as FACE RECOGNITION. In our project, there will be minimal manual work and more precision

Our project revolutionizes the conventional system to address its limitations. It uses face recognition (Machine Learning technology) to register attendance through a Histogram of Oriented Gradient for face detection and an SVM Classifier for name recognition. All students' data is stored in a folder; if their faces match one of those stored images, their attendance is marked. The model boasts an impressive accuracy rate of 99.38% on the Labelled Faces in the Wild benchmark.

Keywords used :Face Detection, Face Recognition, OpenCV, and Tkinter, among others.