Modern techniques for identification and evacuation of fires are required because they represent a serious risk to human life, belongings, including the surroundings. In order to tackle this scenario, this research project presents Aegis Flare, IoT based autonomous rescuer. Aegis Flare uses OpenCV analyzing images to automatically identify flames and initiate immediate action to control flames away. By constantly tracking and utilizing Internet of Things components for communication, the architecture improves rescue. This document gives an extensive overview about Aegis Flare's architecture, parts, implementation, and proficiency evaluation.
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