Smart Classroom Application

This paper presents a system for smart attendance and facial feedback recording, based on a face recognition mechanism. The system is designed to help professors to mark the attendance at the laboratories and to have an overview on how their development is reflected in students' facial expressions - based feedback. It is a mobile application that uses the Microsoft Azure Cognitive Services Face API, highlighting some of its amazing functionalities. The UI of the application allows professors to create laboratory groups, consisting of a list of students' names and face(s), and to select an image that contains the faces of those who are present during the laboratory. Their attendance is marked within the group by performing face detection on that image, followed by face identification, two API specific operations that will be discussed in this paper. The detected faces are checked among the faces associated to the students enrolled in the laboratory and the attendance is marked for the ones that are recognized. The detection also provides information about facial expressions, relevant for a satisfaction feedback of each student. A detailed explanation of the whole process will be presented in order to give a better understanding of how Face API work and how its features are integrated into this system.