Рақамли технологияларнинг назарий ва амалий масалалари Volume 8 Issue 4 (2025) · pp. 87-92

Intelligent Video Monitoring System with Automatic Fire Detection and Multi-level Alert System

Сокиев, Т.Р.

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Abstract

This paper presents an intelligent video monitoring system with automatic fire detection. The system is based on YOLO deep learning algorithms and contour analysis, enabling real-time video stream processing. The multi-level alert system is implemented through a desktop (Tauri), mobile (Flutter), and web application (Nuxt). A modular Rust-based architecture ensures performance and scalability. The potential for integrating WebRTC and the personnel tracking system is discussed.

искусственный интеллектмониторинг пожаровYOLOкомпьютерное зрениеобработка в реальном времениartificial intelligencefire monitoringYOLOcomputer visionreal-time processing

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Cite

APA 7 
Сокиев, Т.Р. (2025). Intelligent Video Monitoring System with Automatic Fire Detection and Multi-level Alert System. Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 87-92.
GOST R 7.0.5 
Сокиев, Т.Р. Intelligent Video Monitoring System with Automatic Fire Detection and Multi-level Alert System // Рақамли технологияларнинг назарий ва амалий масалалари. 2025. Т. 8. № 4. С. 87-92.
BibTeX 
@article{т.р.2025,
  author  = {Сокиев, Т.Р.},
  title   = {Intelligent Video Monitoring System with Automatic Fire Detection and Multi-level Alert System},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year    = {2025},
  volume  = {8},
  number  = {4},
  pages   = {87-92}
}
RIS 
TY  - JOUR
AU  - Сокиев, Т.Р.
TI  - Intelligent Video Monitoring System with Automatic Fire Detection and Multi-level Alert System
JO  - Рақамли технологияларнинг назарий ва амалий масалалари
PY  - 2025
VL  - 8
IS  - 4
SP  - 87
EP  - 92
ER  -