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Description

Fires harnessed effectively have been a cornerstone of human advancement, yet their uncontrolled manifestations pose significant risks to lives, both natural and human-made environments, and the continuity of business. The incidence of wildland fires, wildland-urban interface (WUI) fires, and open urban fires represent some of the most challenging adversities faced by modern societies. Their catastrophic nature contributes significantly to the environment and has an impact on biodiversity, including both flora and fauna. Citing the studies that focused on investigating civilian fatalities from wildfires and studying their behaviors and the data from the Attorney Generals Department (AGD) bushfire life loss dataset, there were around 441 fatalities from four wildfires alone, the 2009 Victorian Bushfire, 2017 Portugal Forest Fire, 2018 Camp Fire California, and 2023 Maui Hawai wildfire. Out of which 27.67 % of deaths were in the United States alone. Citing the Nationwide data compiled by the National Interagency Coordination Center (NICC), the magnitude of fire-related incidents in the United States alone, with over 70,025 wildfires since 2000, have burned almost 7.0 million acres causing thousands of civilian casualties and injuries. The total cost incurred in damages from the costliest wildfires from the year 2000 to 2020 in the United States alone is $51.18 billion. Statistics like these underscore the urgent need for adequate fire management strategies for

Publication Date

4-1-2025

Keywords

Fire Prevention, Machine Learning, Computer Vision, Engineering, Wildland

Computer Vision-based Firebrand Analysis: Dimensional Computation, Trajectory Prediction and Mass Estimation

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