Modern image recognition technologies: a review

In this paper, we provided an overview of the methods and technologies used in the construction of artificial neural networks (ANN). Biometric technologies based on a person's unique physical and behavioral characteristics have become a key tool for personal identification. We conducted a comparative analysis of various face recognition models, including Haar cascades, dlib, MTCNN, and FaceNet algorithms. We based the analysis on nine criteria, including accuracy, completeness, processing time, and computing resource consumption. To evaluate the effectiveness of the algorithms, we used a set of 250 images classified according to various conditions. The results demonstrated that each algorithm has its own advantages and disadvantages, depending on the specific tasks and operating conditions.