Computer Vision for Fire Detection on UAVs—From Software to Hardware

Fire hazard is a condition that has potentially catastrophic consequences. Artificial intelligence, through Computer Vision, in combination with UAVs assisted dramatically to identify this risk and avoid it timely manner. This work literature review on using Vision order detect fire. The research was conducted for the last decade record types of UAVs, hardware software used proposed datasets. scientific executed Scopus database. showed multi-copters were most common type vehicle RGB thermal camera part applications. In addition, trend use Convolutional Neural Networks (CNNs) increasing. decade, many applications wide variety methods have been implemented studied. Many efforts made effectively fact state-of-the-art methodologies continue be researched, leads conclusion need more effective solution continues arouse interest.