Face detection and recognition systems are applicable in various fields. The development of such systems belongs to the field of computer vision. Computer vision algorithms rely heavily on artificial intelligence, i.e. machine learning algorithms, so this is a brief introduction to artificial intelligence and they are processed with key algorithms and methods, on which the system described in the paper is based. Therefore, it was necessary to develop a system for face detection and recognition. The system was created in the Python programming language and uses the face_recognition library. The library makes it possible to detect and recognize faces with high accuracy with the help of a simple interface, without requiring too much knowledge of machine learning algorithms. The library uses various machine learning algorithms in the background, and the key ones are described in the paper. An important detail is that the library uses ready-made trained models of high accuracy, so there is no need for retraining. The system works in real time so that the web camera is turned on and the process of face detection and recognition is carried out for each frame of the recording.