Facial Recognition Attendance System using MTCNN and FACENET

In this technological age, Face Recognition systems play a vital role in almost every sector. Face Recognition is one of the most used biometric systems. It can be used for authentication, identification, security and has many advantages over other biometric systems. Although face recognition is less accurate when compared to Iris or Fingerprint recognition, it is being widely used due to its contact-less process. Furthermore, the Face Recognition system can also be used for recording attendance in the classroom. This project is one such Face Recognition system which aims to build a Face recognition-based attendance system, as the existing manual attendance system is tedious and also a burden to maintain. And the chance of proxy attendance exists as well. Thus, the implementation of the said system will improve the situation by completely automating the process. The proposed system is a Web application, it uses Multitask Cascaded Neural Network (MTCNN) algorithm to detect faces, and FaceNet algorithm is used to recognise the individual.