USER VERIFICATION BASED ON THE ANALYSIS OF ITS PRIMARY AND SECONDARY IMAGES IN AUTOMATED CONTROL SYSTEMS

摘要

The algorithm of user visual verification based on the analysis of images of his face is considered. The algorithm based on the use of convolutional neural networks model VGG16 taking into account the image blur analysis is proposed. To determine the distance to the surface points of the object in the image in real-time, the use of the dynamic camera focusing algorithm is proposed.