Mountain Top University Library

Over the last ten years, face recognition has become a common field in computer vision science
and one of the most promising image processing and comprehension applications. This project
is based on the implementation of computer vision for an Electronic Attendance System using
automatic face recognition technologies as a form of biometrics. Face recognition based
attendance system is a process of identifying the students face for taking attendance.
The aim of this project is to create an efficient and reliable facial recognition software that
would be able to detect a person with high accuracy. A large amount of algorithms and
techniques have been developed for improving the performance of face recognition but the
concept to be implemented here is Deep Learning. It helps to transform the frames of the video
into images so that the attendance database can remember the identity of the student.
This project was built using OpenCV (open computer vision) and Python with other frontend
and backend technologies using Pycharm 2019 as the Integrated Development Environment.
The E-attendance system created is useful in helping the school, lecturers and students to keep
accurate records of the attendance properly.