The project that holds our attention is the creation of an application for taking attendance by facial recognition in order to facilitate Attendance with regard to taking the presence of students in universities when entering and leaving out of classes just by presenting their faces in front of a camera placed at the entrance of the class and to generate a Csv, Txt or Excel file registration form which will serve as the attendance list. This domain covers facial recognition which is a domain of artificial intelligence, we will focus on use cases like enrolling a new student in the system, taking a picture of the registered student, training photos by the system, management of the attendance sheet, all this by a main user who will be responsible for creating other users like him. Users can only integrate the system (SASBFR) by an identifier consisting of a username and a password. We have opted to work with one popular and easiest algorithms for the handling of computer vision which is the LBPH (Local Binary Pattern Histogram). In this case, its combination with the HOG (histogram of oriented gradients) and the SVM (support vector machine) used for classification and regression analyzes gives extraordinary results in facial recognition and detection. This project replaces the old traditional method of taking attendance which was done by noting the names of the pupils present in class on A4 paper or by fingerprints.