Evaluating Microsoft Face API in the context of student classroom attendance

Face recognition technology is having a tremendous impact on the vast majority of today's human activities - mostly for leisure and security purposes. In this paper, we evaluate Microsoft Face API technology in the context of estimating classroom student attendance. A short overview of face recognition technology is presented, alongside common algorithms used in today's state- of-the-art face recognition systems. Finally, Microsoft Face API is evaluated with respect to image quality, blur, occlusion, and in-the-wild with an attempt to evaluate the efficiency of the recognition system in the context of student classroom attendance.