Project F.I.R.E.

Group 4


Jonathan Kessluk

Noora Dawood

Arisa Kitagishi

Nicholas Hainline


Fires cause massive environmental damage. This damage can be in the form of physical damages but also the monetary value of all the structures and items it destroys. Timely response to a fire is key as the sooner a team can be assembled to fight the fire the less damage that occurs. The F.I.R.E. system's goal is to detect fires and send alerts about the fire across large distances so that response teams can be brought together swiftly. This allows cities, states, and governments to effectively and efficiently monitor forests and large expanses of land for fires and alert a location that could be many miles away from the starting point of the fire. The system uses new wireless technology combined with machine learning and image processing techniques to determine if there is a fire in its vicinity and send an alert across the network. Creating a mesh network, the system will send alerts to all other systems and these notifications will get filtered through the system to a central location so that the alert can be handled. Using newer wireless technology LoRa and the power of machine learning, the system will accurately and efficiently monitor these large areas and assist in preventing the devastation caused by a fire.

Home The Team Documents Videos Youtube Links

SD2 CDR SD2 Midterm Demo SD2 Final Presentation SD2 Final Demo