TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION

Face Recognition Student Attendance allows for the real-time monitoring of students’ everyday attendance. high definition face biometrics are used to monitor student attendance. one such application is face recognition, a subset of machine learning that makes use of deep learning methods. The present systems for tracking attendance take a long time. Records of attendance that are manually recorded are prone to error. Accuracy and real-time can be the main features that differentiate the existing project with this project. This project’s major concern and goal is to address these aspects.