Abstract
This article addresses the use of artificial intelligence-based software tools for the early detection of fires that
may occur in buildings and structures and for the rapid notification of the parties concerned. Within the scope of the
study, the real-time analysis of images and video streams obtained from video surveillance systems is examined, together
with the possibilities of automatically detecting the earliest signs of fire, in particular smoke and flame. To improve the
accuracy and speed of the fire-detection process, the advantages of software approaches based on computer vision and
deep learning technologies are analyzed. In addition, the automation of the processes for promptly delivering information
on a detected fire to responsible persons and for issuing timely notifications is described. The results of the study are
aimed at improving artificial intelligence-based software tools that serve to ensure fire safety in buildings and structures,
to detect fires at an early stage, and to reduce their adverse consequences.