FireLens: A Deep Learning Solution for Wildfire Identification

This paper presents an optimized framework for video smoke detection tailored specifically for deployment on local cameras in embedded systems. The proposed methodology exhibits its effectiveness in real-time smoke image identification with minimal false positive occurrences, as substantiated through rigorous experimentation. By harnessing the capabilities of CNN technology, system showcases promising capabilities for swiftly detecting smoke associated with wildfires. The emphasis is placed on the importance of forest fire early warning systems prevention, & the design of this framework is geared towards promptly and accurately recognizing potential threats. The incorporation of deep learning in wildfire smoke detection offers a robust solution for proactive incident management, enabling swift responses to potential wildfire incidents.