Wildfires are an increasing problem all over the world. They are cause of a great environmental impact, destroying wildlife and flora. Up to 315,5 billion Euros are at risk every year, spent on firefighting operations to combat this issue and in damages. Current wildfire data gathering is time consuming and provides inaccurate data. Moreover, reconnaissance operations from helicopters and planes are very dangerous, and stands for 24% of deaths in wildfire operations.
We have developed an autonomous wildfire recognition and analytics drone. This will provide the user with an out-of-box method for fast and accurate data gathering and monitoring of the wildfire. The user will utilize a tablet to mark an area for the drone to search in, and will receive real-time feedback regarding the location, size, intensity and direction if detecting a wildfire. The strength of this product is the fact of it being an autonomous system, which will eliminate the need for an operator and reduce the time-consuming aspect of current methods, while improving the accuracy of the data.
This product was developed as part of a yearlong bachelor thesis, meaning that a proof of concept together with a prototype has been developed, in collaboration with the Danish Emergency and Management Agency. This thesis was so well received that we published two scientific articles on our work. A pilot project is established with Nordjyllands Beredskab, Alingsås and Vårgårda Fire and Rescue, which will also mark the launch of our product.