TY - GEN

T1 - Intelligent Browser Window System for Visualizing Events Detected from Video in Distributed Fog Computing Environment.

AU - Станкова, Елена Николаевна

AU - Жукова, Наталия Александровна

AU - Subbotin, Alexey

PY - 2025/6/28

Y1 - 2025/6/28

N2 - The article discusses a distributed container-based fog computing that powers the window system. Distributed fog computing can significantly increase the speed of window system rendering. The article proposes an intelligent window system for a browser for visualization events detected in a fog computing environment. An overview of visualization tools and settings for video servers is presented. Disadvantages of existing solutions are identified. A new system for visualizing events and editing settings in a browser for a video server in fog is created. The novelty lies in the fact that windows with information in the browser are formed by a neural network based on the user's preferences defined using personal information that is collected with user's consent. The window system in the browser is mobile, high-speed and universal and supports the possibility of configuration. The proposed system was tested in subway subject domain. Its usage made it possible to increase the reaction rate of personnel in the subway by 20.3%. The created window system for the browser can be applied in different areas: airports, shopping centers, hospital buildings, cruise liners and other areas of limited space to improve the consistency of services and the speed of staff interaction.

AB - The article discusses a distributed container-based fog computing that powers the window system. Distributed fog computing can significantly increase the speed of window system rendering. The article proposes an intelligent window system for a browser for visualization events detected in a fog computing environment. An overview of visualization tools and settings for video servers is presented. Disadvantages of existing solutions are identified. A new system for visualizing events and editing settings in a browser for a video server in fog is created. The novelty lies in the fact that windows with information in the browser are formed by a neural network based on the user's preferences defined using personal information that is collected with user's consent. The window system in the browser is mobile, high-speed and universal and supports the possibility of configuration. The proposed system was tested in subway subject domain. Its usage made it possible to increase the reaction rate of personnel in the subway by 20.3%. The created window system for the browser can be applied in different areas: airports, shopping centers, hospital buildings, cruise liners and other areas of limited space to improve the consistency of services and the speed of staff interaction.

KW - Distributed computing

KW - Event and pattern recognition

KW - Event visualization

KW - Fog computing

KW - Intelligent assistant

KW - Intelligent subway video surveillance system

KW - Window system creation

UR - https://www.mendeley.com/catalogue/32459bc6-6cf3-3053-b673-7cd732fb16e5/

U2 - 10.1007/978-3-031-97648-3_21

DO - 10.1007/978-3-031-97648-3_21

M3 - Conference contribution

SN - 978-3-031-97647-6

T3 - Lecture Notes in Computer Science

SP - 309

EP - 324

BT - Computational Science and Its Applications – ICCSA 2025 Workshops. ICCSA 2025. Lecture Notes in Computer Science

PB - Springer Nature

T2 - Computational Science and Its Applications – ICCSA 2025 Workshops

Y2 - 30 June 2025 through 3 July 2025

ER -