SAD
Smoke Automatic Detection using IoT monitoring networks in mountainous environments
Scheda del progetto
The SAD project aims to develop strategies and solutions for fire-prone areas to enable timely detection of fire outbreaks, facilitating rapid and effective response efforts. The idea is to establish surveillance and monitoring systems through the integration of Internet of Things (IoT), Computer Vision, and Artificial Intelligence technologies. Specifically, the goal is to create a monitoring network where AI vision algorithms transform ordinary cameras into sentinels capable of swiftly detecting smoke plumes and flames in outdoor environments. This generates data and alerts that automatically feed into decision support tools already implemented at national and European scales.
Contact:
Paola Allamano
paola.allamano@waterview.it
representing a first step towards the regional and national extension of similar monitoring networks promoted by public administrations in collaboration with technical stakeholders and other managers of critical infrastructure distributed throughout the national territory.
adopts visual AI technologies for the detection of smoke and flames using low-power cameras in the visible spectrum. These cameras provide visual feedback, detect ongoing phenomena even at long distances, and supply accompanying information.
It generates a significant impact on the economic, infrastructural, and social context by enhancing the ability to adapt to the effects of climate change, building resilience and capacity among stakeholders and the community. This is achieved through the capability to identify fires in remote areas and trigger timely responses and targeted interventions.