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  • Technique for automatic classification of roads using the neural network Mask R-CNN

    The paper proposes a method for automatic classification of roads based on the use of a convolutional neural network Mask-R-CNN. The developed technique makes it possible to automate the task of categorizing roads, which is fundamental in the redistribution of traffic flows, since knowledge of the category of the road allows you to determine its maximum capacity. The article contains a description of the stages of training a neural network, as well as the results obtained when using it. The method of automatic road classification proposed in the paper showed good results both in classifying roads based on satellite images and in classifying roads based on photographs of road sections. When expanding the test set, the number of classes of recognized roads can be increased to match the categories of roads according to SP 34.13330.2021. In addition, this technique (in terms of segmenting objects in photographs) can be used to control the quality of the roadway.

    Keywords: road categories, convolutional neural networks, satellite imagery, image segmentation, Mask R-CNN, image recognition, computer vision

  • Behavioral features of a virtual personality on the web

    This article provides information that there are different categories of users with different groups of behavioral features. All this data is separated from each other. In the course of this work, it was found that if all data on user models are combined into one method, then the analysis by which information about a virtual person is obtained can lead to improved adaptability of web resources using new technologies.

    Keywords: usability, virtual reality, types of virtual personalities, segmentation, socialization, user, Internet

  • A software package for automatic fixation of a person's galvanic skin response with subsequent analysis to determine the emotional state of a person

    This article proposes the development of a method for fixing changes in the galvanic skin response and human pulse, depending on the viewing of a video fragment, which presumably causes a certain emotional reaction of a person. The creation of a prototype device on the Arduino Leonardo platform and compatible with this platform sensors for fixing galvanic skin response and a human pulse sensor is described, with the help of which data is collected for further use in determining the emotional state of a person.

    Keywords: galvanic skin reaction, pulse, emotional state, arduino, emotion