This document summarizes a student presentation on a face recognition lecture attendance system. The system uses image processing and comparison to recognize students' faces from a high-definition camera feed and compare them to a database to take attendance. It is controlled by the faculty member, who instructs the system to start and end recording. The system is intended to smartly track that students remain for the entire lecture session and also function as surveillance. At the end, it reverts a full attendance report back to a central database. Diagrams including class, activity, sequence and use case diagrams are also presented to depict the system workflow and actors.