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Video Stream Object Recognition Module for Intelligence Buildings
P. 66–72.
Markvirer V., Ulitina S.
The article presents analytical review of existed solutions and technologies applied in computer vision control access systems, video monitoring and analysis areas. Such technologies are parts of the smart city concept and commonly used for recognition of faces in modern office buildings and business centers. Face recognition is used to distinct employees and guests, separated rooms and to evaluate the position of people, to expose atypical behavior. Commercial centers use such technologies for storing marketing information and estimating more popular route of buyers’ movements. The article discusses the process of construction and realization of object recognition in video stream prototype system. This prototype uses single-board computer Raspberry Pi 3 model B+ and RPi-camera (Raspberry Pi Camera Board v2.1). Prototype can be used as the video recording module of “Smart office” or “Smart home” system.
In book
ПГКУБ им. А. М. Горького, 2021.
Rezunik L., Alexandrov D., Mikhail Prozorskiy, , in: Intelligent Decision Technologies. Proceedings of the 17th KES-IDT 2025 ConferenceVol. 450.: Springer, 2026. P. 81–91.
Multi-Agent Systems (MAS) can benefit from Large Language Models (LLMs), but hallucinations pose risks to decision-making. This paper introduces an approach for creating MAS based on LLMs and proposes a generalized architecture for such systems. We ensure that reasoning is conducted through predicate logic to minimize errors, and LLMs are exclusively utilized to translate natural ...
Added: September 14, 2026
Ivchenko A., Дворкович А. В., Телекоммуникации 2020 Т. 12 С. 2–11
Dynamic Adaptive Streaming over HTTP (DASH) technology powers most multimedia services. Its specific features (re-buffering, quality switching, etc.) necessitate the development of specialized methods for assessing user subjective quality of experience (QoE) based on objective parameters. This article examines the impact of various metrics on QoE and presents assessment models with Spearman correlation coefficients up ...
Added: June 27, 2026
Сомов А. С., Lyzhin I., Сколковский институт науки и технологий, 2020.
Учебно-методическое пособие предназначено для всех, кто интересуется интернетом вещей (IoT), в первую очередь - преподавателей и
обучающихся средних общеобразовательных школ. В пособии кратко
описывается протокол MQTT, приводятся примеры его использования в
домашней автоматизации, даются инструкции по установке операционной системы Raspbian, работе с одноплатным компьютером Raspberry
Pi, установке и настройке MQTT-брокера Mosquitto, а так же MQTT клиентов для операционных систем ...
Added: May 10, 2026
Tikhonov R., Панфилов А. П., Тиганов Р. Е., Вестник Инженерной школы Дальневосточного федерального университета 2022 № 4(53)
В статье предложена модель многоканальной системы контроля температуры в двух реализациях, проверена работоспособность систем и соответствие заданным требованиям, приведены результаты проделанной работы. Поставлена задача по разработке удобного для пользователя и финансово эффективного решения контроля температуры в аквариумных танках больших океанариумных комплексов. ...
Added: March 4, 2026
Maltseva S. V., Бериков В. Б., Кладов Д. Е. et al., В кн.: Информатика и прикладная математика: Материалы X Международной научно-практической конференции (08.10 - 11.10.2025 г.)Т. 1: Сборник материалов часть 1.: Алматы: Институт информационных и вычислительных технологий КН МНВО РК, 2025. С. 227–232.
This paper examines the problem of clustering consumption patterns for a private household. An ensemble algorithm based on the Wasserstein metric was developed and applied to cluster daily load profiles. The proposed approach allows for identifying typical energy consumption scenarios and interpreting consumer behavior. Results from computational experiments using real data are presented. ...
Added: March 3, 2026
L. Rezunik, M.A. Prozorskiy, D.V. Alexandrov, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4-2 P. 219–234
The rapid advancement of AI technologies, particularly Large Language Models (LLMs), has sparked interest in their integration into Multi-Agent Systems (MAS). This holds substantial promise for applications such as smart homes, where it can significantly enhance user experience by optimizing comfort, energy efficiency, and security. Despite the potential benefits, the implementation of MAS based on ...
Added: September 27, 2025
Yatskin D., Калинов И. А., В кн.: Перспективные системы и задачи управления: материалы Двенадцатой Всероссийской научно-практической конференции и Восьмой молодежной школы-семинара «Управление и обработка информации в технических системах».: Ростов н/Д: Издательство Южного федерального университета, 2017. С. 531–536.
В работе приведены и описаны модели методы и алгоритмы патрулирования пространства на примере задачи обнаружении человеческого лица на заранее известной территории роевой группой мультироторов. Работа описанных алгоритмов была подтверждена многочисленными экспериментами, на их основании были сделаны выводы об эффективности и границах применимости тех или иных подходов. ...
Added: March 7, 2025
Savchenko A., Maslov D., Makarov I., , in: ECAI 2024. 27th European Conference on Artificial Intelligence, October 19 – 24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024).: IOS Press, 2024. P. 4439–4442.
Added: February 15, 2025
Stroganov I., Ковальчук А. Е., Человеческий капитал и профессиональное образование 2022 № 2(40) С. 80–87
The global changes that have taken place in the economy since 2020 as a result of the Covid-19 pandemic have affected many areas of the economy. The facility-management sphere is no exception. Many owners of commercial real estate, offices and business centers faced a massive outflow of tenants, which led to a forced optimization of ...
Added: December 12, 2024
Baulina M., Kosonogov V., Frontiers in Psychology 2024 Vol. 14 Article 1218124
Developmental dyscalculia (DD) is a subtype of learning disabilities, which is characterized by lower mathematical skills despite average intelligence and average or satisfactory performance in other academic areas. It is not fully understood how such deficits emerge in the course of brain development. When considering the mechanisms of dyscalculia, two domain-specific systems are distinguished. The ...
Added: November 13, 2023
Savchenko A., Savchenko L., Makarov I., IEEE Access 2023 Vol. 11 P. 65977–65990
This paper addresses the face recognition task for offline mobile applications. Using AutoML techniques, a novel technological framework is proposed to develop a fast neural network-based facial feature extractor for a concrete device. First, the Once-for-All SuperNet is trained on a large facial dataset. Each device is characterized by its lookup table, which contains the ...
Added: August 28, 2023
Sokolova A., Savchenko A., , in: 2023 IX International Conference on Information Technology and Nanotechnology (ITNT).: IEEE, 2023. P. 1–5.
In this paper, we explore the possibility to improve efficiency of face recognition using information about anomaly input images. Indeed, modern publicly-available datasets typically contain images of mostly middle-aged and Caucasian people, which cause most algorithms to fail on photos of older people or children, rarer ethnicities, poor-quality images, etc. Detection of such anomaly data ...
Added: June 13, 2023
Sokolova A., Savchenko A., , in: 2022 International Joint Conference on Neural Networks (IJCNN).: Institute of Electrical and Electronics Engineers Inc., 2022.
One of the main issues in face identification is to create a real-time application with high accuracy. Images are presented by high-dimensional feature vectors that are produced by convolutional neural networks. In order to effectively process such vectors, the hierarchical algorithm was proposed in this paper that applies sequential analysis to search the nearest neighbors ...
Added: May 29, 2023
Churaev E., Savchenko A., Компьютерная оптика 2023 Т. 47 № 5 С. 806–815
In this paper, an approach that can significantly increase the accuracy of facial emotion recogni- tion by adapting the model to the emotions of a particular user (e.g., smartphone owner) is consid- ered. At the first stage, a neural network model, which was previously trained to recognize facial expressions in static photos, is used to ...
Added: May 18, 2023
Churaev E., Savchenko A., Software Impacts 2023 Vol. 16 Article 100507
Nowadays, many meetings, lessons, conferences, and presentations are organized online, where it is complicated to communicate with an audience and control their engagement and emotions. In this article, we present a novel C++ application that is led to help estimate facial identities and expressions. It captures a screen with a window of an arbitrary online ...
Added: May 18, 2023
Смирнов И. А., КРАВЧЕНКО В. О., Разумов П. В. et al., ГНИИ "НАЦРАЗВИТИЕ", 2019.
this article will describe topical issues of Internet of things security, analyze
legislative acts of different countries, and the latest scientific research in the development of
measures to prevent threats. ...
Added: May 11, 2023
Alexandrov D., Программная инженерия 2022 Vol. 13 No. 7 P. 331–343
Trends in computer vision and pattern recognition and capabilities of modern computers contributed to a consid- erable amount of research of these areas application in facial recognition systems. The purpose of this paper is to investigate the most significant methods of face recognition. In the first two sections of current paper, the methods of face ...
Added: October 31, 2022
Manna S., Ghildiyal S., Bhimani K. R., IEEE Access 2020 Article 1
Face recognition (FR) and verification is the immeasurable technology to encounter any criminal activities nowadays. With the remarkable applications extending from criminal ID, security, and observation to amusement sites. This system (recognition of faces) is exceptionally helpful in banks, air terminals, and different associations for screening customers. In deep learning, convolutional neural networks (CNN) have ...
Added: October 14, 2022
Соколова А. Д., Savchenko A., Nikolenko S. I., Компьютерная оптика 2022 Т. 46 № 5 С. 801–807
Одной из основных проблем современных нейросетевых дескрипторов в задаче идентификации лиц является малое число обучающих примеров определенного типа: изображения плохого качества, разный масштаб или освещение, лица детей, пожилых людей, редкие расы. В результате точность распознавания оказывается низкой для входных изображений, не похожих на большинство изображений в наборе данных, используемом для настройки метода извлечения признаков. В ...
Added: September 29, 2022