Smart staff attendance system using Convolutional Neural Network

In this paper we have implemented Deep Learning model Convolutional Neural Network architecture for face detection to build a smart attendance system that will detect the faces of all the staff members and the attendance is marked automatically. This is a real time application which comes with day-to-day activities of handling attendance system in an institution. The process involves recognizing the face of staff members from the video taken through surveillance camera kept at different locations in the institution and other information technologies associated with the system. The proposed system will be able to find and recognize staff member faces fast and precisely with an accuracy of 90%. In addition, various data augmentation techniques are employed in the proposed system that improves the system accuracy further from 90% to 96%