Students’ Attendance Management in Higher Institutions Using Azure Cognitive Service and Opencv Face Detection & Recognition Attendance System

This research aimed at studying the current methods of attendance used higher institutions learning in Uganda and feasibility using facial biometrics as a new method capturing attendance. Facial is distinct from other because it can be carried out without consent person involved. As result, researcher developed face recognition system OpenCV Microsoft Azure CS. Questionnaires, interviews, observations were to capture data for research. The analyzed SPSS get requirements systems functionalities. Object-Oriented Design tools model architecture system. Data Flow Diagram, Use-Case Activity Chart processing whereas Entity Relation Diagram was modeling. designed facilitate management large number attendees with ease. Efficiency reliability essential features visualization provided help make informed timely decisions on matters that are related python Tkinter, OpenCV, CS mentioned above. (images) by stored cloud accessibility multiple users. tested thoroughly various testing types uncover fix errors minimize severity failures.