Fire Detection using HSV Color Picker: A Review

Massive wildfires are destroying homes and habitats around the world. With wildfires, early detection and prevention become keys to containing the fire. Three days ago, France had to evacuate more than 16,000 people threatened by wildfires in the south-west. There were 1,36,604 fire points in India from January 1 to March 31, 2022, according to the Forest Survey of India (FSI). Our project leverages pioneering AI techniques to detect wildfires at very early stages, way faster than the current systems used. However, we believe that these can be automated with the help of machine learning algorithms. The system will seamlessly detect fire with data from various sources, like IoT devices, satellite data, and data provided by users living nearby the forest. The use of different technologies gives us a unique advantage and helps us detect wildfires faster.