Firefly
Background
This project focuses on the development of an autonomous drone system designed to survey an area, detect wildfires or fire outbreaks, and intervene with fire retardant to mitigate the spread of flames. The drone is equipped with sensors and cameras, to identify fire hotspots in real-time. Using color-filtering algorithms in addition to sensors, the system can accurately distinguish between fire and non-fire events, ensuring high precision in detection.
Once a fire is detected, the drone autonomously navigates to the location and deploys a fire retardant payload, such as dry agents or water-based solutions, to suppress the flames. The system is integrated with GPS and mapping technologies to optimize flight paths and ensure efficient coverage of the survey area. Additionally, the drone can transmit real-time data and alert ground station, enabling rapid response.
Goals and Objectives
Our main goal is to design an autonomous drone system that is capable of surveying an area, detecting a fire, and intervene as well as alert users. It should detect fires with at least an accuracy of 80% and survey areas for at least 15 minutes.
Winter Quarter 2025:
- Week 6: design outline
- Week 7: test simulation softwares / pick physical parts
- Week 8: subsystem analysis
- Week 9: proof of concept of a subsystem
- Week 10: prototype
Team Contacts
Abraham Tambunan (tambunaa@uci.edu)
Ryan Sun (ryans5@uci.edu)
Bowei He (boweih3@uci.edu)
Timothy Ngo (tqngo2@uci.edu)
Sponsor/Advisor
Abdelrahman Amr Abdelaziz Elmaradny (aelmarad@uci.edu)
