Automated Facial Recognition Attendance System Leveraging IoT Cameras

Abstract

In recent years, biometrics using facial recognition has become an important part of many industries like security, retail, marketing, health-care, etc. Internet of Things has played a pivotal role in enhancing and automating technology for practical applications. However, there exist some issues with implementing these systems practically. In this paper, an attendance management system is proposed which can detect and recognize faces of an entire class from a few pictures and mark the attendance of the recognized students. IoT cameras have been used instead of a smartphone camera to increase coverage and reduce the number of missed attendances. In addition to reducing manual work, it has also been ensured that this system is completely secure. The system proposed mainly comprises of IoT Camera Module, custom back-end server and separate Android apps for teachers and students. The system is also able to provide high accuracy at low cost as compared to other other similar applications and hence is suitable for real-life use.