This document summarizes recent developments in face recognition technology. It discusses how face recognition can be used for verification (one-to-one matching) or identification (one-to-many matching). It then outlines several major approaches to face recognition including template-based methods, statistical approaches, and neural network-based approaches. Specific algorithms are discussed, such as Viola-Jones, HOG, R-CNN, and YOLO. Finally, potential applications of face recognition technology are presented, including biometrics, healthcare, education, and emotion analysis.