Forest Fire Detection System for Preventing Flora & Fauna from Fire Using Computer Vision

Abstract

Forest fires present a significant threat to ecosystems, endangering both human and animal life while causing irreversible environmental damage. To address this pressing issue in this research paper introduces an innovative & Affordable forest fire detection system that utilises the HSV algorithm and various computer vision libraries with the use of AI. Our advance system aims to detect & respond to forest fires in real-time, mitigating potential harm to flora and fauna. Our proposed System employs deploy camera sensors distributed at the Sensitive Parts of the forest, continually monitoring the environment. The HSV algorithm enhances the system's capability to accurately identify fire-related hues, ensuring reliable fire detection. Upon detecting a fire, an automatic alarm is triggered, initiating a series of measures to protect the ecosystem proactively. In response to a detected fire, the system automatically reroutes animal pathways to minimize their exposure to danger. Concurrently, the system sends immediate notifications to the local fire department and forest authorities via direct email, providing vital information on the fire's location and severity. This rapid communication facilitates timely intervention and improves the chances of successful firefighting efforts. We can put our system at Jim Corbett National Park & at different Sensitive forest Regions. Furthermore, the system features live monitoring capabilities, enabling authorities to observe the fire's real-time progression. This live feed supports informed decision making and facilitates the swift deployment of resources to contain and extinguish the fire. Through the integration of advanced computer vision technology, our system aims to redefine forest fire detection & response mechanisms, ultimately safeguarding the delicate balance of flora and fauna in ecosystems.