Дослідження методів ідентифікації людини за її зображенням на основі використання нейромереж

Abstract

The work aims to evaluate the effectiveness of methods for identifying a person from his or her image using neural networks. The main approaches to analyzing video streams and methods of automatic object recognition based on deep learning algorithms are considered. Studies have shown that the use of neural network algorithms can increase the accuracy of fire detection by 50% compared to traditional methods.