Published Paper Details:

In the areas of fire safety and disaster response, the creation of a real-time fire detection system for Unmanned Aerial Vehicles (UAVs) using Open CV represents a substantial accomplishment. This cutting-edge system seeks to enhance UAVs' capacity to quickly detect and monitor fire occurrences, which can ultimately support swift reaction and mitigation efforts. The importance of fire detection in UAV applications is first highlighted in the paper, with a focus on the necessity of early detection to limit possible damage and stop flames from spreading quickly. The process of acquiring images, preparing them, and applying Open CV to construct the fire detection algorithm is also covered. This is how the Open CV library, a potent tool for computer vision tasks, is used to develop the fire detection system for UAVs. Using the features of this library, the system can analyze real-time data from UAVs and reliably identify fire occurrences. We created a fire detection system for UAVs. In addition, it indicates future directions for this field of study and makes recommendations for improvements and modifications that could be done to improve the system's functionality and broaden its range of uses. Utilizing Open CV to create a real-time fire detection system for UAVs is a major advancement in the use of technology for preventative fire safety measures. This creative strategy has the potential to enhance disaster response operations and, in the end, save lives and property.