Impressing Attendance using the OpenCV Method for Face Recognition

Many institutions and universities place a high priority on students’ attendance. Attendance is necessary to get final grades or to give students the opportunity to take examinations. The existing attendance procedure is laborious, slow, and prone to errors. It is simple to alter records that are already in the system. This report suggests the following in order to address all the issues and digitise our current system: a system that uses face recognition technology to identify and confirm individuals using their facial features in order to automatically record attendance in schools and universities. For face recognition and object identification, the system uses LBPH OpenCV and Haarcascade OpenCV, two variants of the OpenCV machine learning library. This document presents the specifics of the system.