Open AccessAlgorithm of fire detection for multi-sensor system
Author(s) -
R. A. Bagutdinov,
М. Ф. Степанов
Publication year - 2021
Publication title -
vestnik dagestanskogo gosudarstvennogo tehničeskogo universiteta. tehničeskie nauki
Language(s) - English
Resource type - Journals
eISSN - 2542-095X
pISSN - 2073-6185
DOI - 10.21822/2073-6185-2021-48-3-59-67
Subject(s) - python (programming language) , computer science , software , focus (optics) , fire detection , process (computing) , field (mathematics) , image processing , real time computing , software system , artificial intelligence , engineering , image (mathematics) , architectural engineering , physics , mathematics , pure mathematics , optics , programming language , operating system
Objective . The paper proposes a fire detection algorithm for a multisensor system. Due to the difficult conditions in the field, for the first time, watch rescue operations are difficult and often endanger the lives of rescuers. The main scientific goal is for the system to work autonomously on certain segments of the monitoring process, while the three agents, to varying degrees, must interact with each other based on communication and decision-making algorithms. Method. There are many algorithms for image processing, but algorithms that use several sources of information are not sufficiently developed and described. The focus is on fire detection algorithms. The algorithm was developed using NI Vision Assistant, a software tool for rapid prototyping and testing of imaging applications. Result. In addition to the software implementation in C, which NI Vision Assistant generates by default, the paper presents a Python implementation of the algorithm. Conclusion. The results of the work can be used to develop multisensor systems for monitoring hard-to-reach areas.