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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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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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