  Over the past few decades, interest in algorithms for face recognition has
been growing rapidly and has even surpassed human-level performance. Despite
their accomplishments, their practical integration with a real-time
performance-hungry system is not feasible due to high computational costs. So
in this paper, we explore the recent, fast, and accurate face recognition
system that can be easily integrated with real-time devices, and tested the
algorithms on robot hardware platforms to confirm their robustness and speed.
