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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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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.

Language: English
Text on another site
Keywords: face recognitionраспознавание лицодноплатный компьютерsmart homeумный домвидеопотокvideo streamsmart officesinge board computerумный офис

In book

Development of Science = Развитие науки : материалы конкурса исследовательских работ на английском языке (2020–2021 г.)
Development of Science = Развитие науки : материалы конкурса исследовательских работ на английском языке (2020–2021 г.)
ПГКУБ им. А. М. Горького, 2021.
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