AI-Powered Information System for Visitor Identification and Automated Access Control in Sports Facilities
Тип публікації :
Тези конференції
Дата випуску :
25 травня 2026 р.
Автор(и) :
Мова основного тексту :
Англійська
eKNUTSHIR URL :
Конференція/Видання :
7th International Scientific and Practical Conference «Scientific Exploration: Bridging Theory and Practice», Berlin, Germany, 25-27 May 2026
Цитування :
[APA 7] Ziuziun, V., Kobylinskyi, V., & Kolomiiets, A. (2026). AI-Powered Information System for Visitor Identification and Automated Access Control in Sports Facilities. In 7th International Scientific and Practical Conference «Scientific Exploration: Bridging Theory and Practice», Berlin, Germany, 25-27 May 2026. https://doi.org/10.70286/EOSS-25.05.2026.006.195-205
[ДСТУ] Ziuziun V., Kobylinskyi V., Kolomiiets A. AI-Powered Information System for Visitor Identification and Automated Access Control in Sports Facilities. 7th International Scientific and Practical Conference «Scientific Exploration: Bridging Theory and Practice», Berlin, Germany, 25-27 May 2026 : матеріали конф. Kyiv : International Scientific Unity, 2026. DOI: 10.70286/EOSS-25.05.2026.006.195-205 (date of access: 25.07.2026).
The article examines the design and formalization process of an information system for tracking visitors in fitness centers based on system analysis methods. A conceptual model of the system is developed, defining its architecture at the levels of a supersystem, external environment, internal subsystems, as well as input and output data flows. A logical-mathematical model is constructed to describe the business logic of user interaction with the mobile application using set theory and Boolean access functions.
A cryptographic algorithm for generating dynamic QR codes with anti-passback protection is proposed to ensure secure access control and prevent repeated entry misuse. An objective function aimed at minimizing client service time at reception during peak hours is formulated. Special attention is given to the practical integration of artificial intelligence technologies, including an intelligent chatbot based on large language models (LLMs) via the OpenAI API for 24/7 user support, as well as predictive analytics modules for forecasting gym occupancy and reducing client churn. The simulation results demonstrate a reduction in visitor identification time and the automation of routine organizational communication processes.
A cryptographic algorithm for generating dynamic QR codes with anti-passback protection is proposed to ensure secure access control and prevent repeated entry misuse. An objective function aimed at minimizing client service time at reception during peak hours is formulated. Special attention is given to the practical integration of artificial intelligence technologies, including an intelligent chatbot based on large language models (LLMs) via the OpenAI API for 24/7 user support, as well as predictive analytics modules for forecasting gym occupancy and reducing client churn. The simulation results demonstrate a reduction in visitor identification time and the automation of routine organizational communication processes.
Галузі знань та спеціальності :
F Інформаційні технології
Галузі науки і техніки (FOS) :
Інженерія та технології
Файл(и) :![Ескіз]()
Вантажиться...
Формат :
Adobe PDF
Розмір :
261.17 KB
Контрольна сума :
(MD5):830b43e7f7b4f91f6d6dec74a07a5494
Якщо не вказано інше, ця робота розповсюджується на умовах ліцензії Attribution-NonCommercial 4.0 International