Intelligent and Vision-based Fire Detection Systems
Research Field: Computer Engineering
Content of research:
In this paper, presents a glance view on the main features of various environments including buildings, forests, and mines that should be considered in the design of fire detection systems. Afterwards, it describes some of the intelligent and vision-based fire detection systems that have been presented by researchers in the last decade.
These systems are categorized into two groups: intelligent detection systems for forest fires and intelligent fire detection systems for all of the environments. They use various intelligent techniques (e.g., convolutional neural networks, color models, and fuzzy logic) to detect fire occurrences with a high accuracy in various environments. Performances of the fire detection systems are compared to each other in terms of detection rate, precision, true-positive rate, false-positive rate, etc. under different evaluation scenarios.