AI/Fire: the predictive analysis of fires becomes a reality
FUNDED RESEARCH
AI/Fire: the predictive analysis of fires becomes a reality
event 10/11/2021
AI/Fire is an Applied Innovation project, with the purpose of experimenting an Early Warning methodology in 3 real use cases by creating an integrated platform for Wildfire sensing. This way, it was possible to collect and elaborate in real time data coming from environment sensors and surveillance devices, in order to monitor and prevent wildfires through Artificial Intelligence (AI) algorithms and Machine Learning.
The AI/Fire project has three main objectives:
- Creating an integrated platform for wildfire sensing
- Experimenting early warning methodology
- Validating early warning methodology in 3 real use cases, with the collaboration of the municipalities of Bianchi, Aprigliano and Mormanno.
The partners who took part in the project are: Extra Red, as head of the partnership, Tea Engineering and CNR ISAC.
Extra Red was involved with building the software infrastructure for the project and integrating the climatic monitoring sensors, as well as taking care of the predictive analysis of wildfires and the Digital Twin module.
Moreover, in addition to taking part in the co-development of the functional specifications, Extra Red was involved in the AI/Fire platform front-end development, which included a web application and a mobile application.