Automated Smart Attendance System Using Face Recognition

Abstract

Abstract: In the human body, the face contains many important details, so the face is the most significant factor in identifying a person. There are several main ways to detect the presence of a person. Biometrics for capturing attendance. This is a time consuming process. In this paper, we will use a collection of rules to develop a model that classifies each character's face from the captured images. The HOG algorithm for recording student attendance. HOG (Histogram of Oriented Gradients) is one of the methods used to represent and classify images, is a common and effective method, and was chosen for its robustness against changes in pose and lighting. .. The proposed ASAS (Automated Smart Attendance System) captures images and compares them to the images stored in the databases. The database is updated during student enrollment using an automated process that also includes names and role numbers. Key Terms: HOG, python, ASAS