Skyrescuer AI Drone Firefighting
Timeline
14 weeks
Role
Product Designer
Skills
Mobility Design
System Design
Animation
Team
Individual Project
Introduction
Traditional firefighting faces numerous limitations, such as restricted access to water sources, slow response time, and heavy reliance on firefighters’ intuition.
SkyRescuer introduces an AI-augmented drone system that uses smart fire-suppression capsules combined with real-time data analysis to assist firefighters and enhance decision accuracy.
Problem
Wildfires continue to grow in scale, with over 100 million hectares burned globally each year and tens of thousands of incidents recorded annually in the U.S.
Firefighters face high physical and mental risk, with over 100 deaths and approximately 60,000 injuries reported each year in the U.S.
Despite the increasing scale of fires, suppression decisions are often made with fragmented information. Thermal data, fire conditions, and available resources are difficult to review and coordinate within a single workflow, leading to heavy reliance on manual judgment and on-the-ground exposure.
Solution
SkyRescuer shifts suppression planning and deployment into a coordinated drone-based workflow.
The system includes two core product experiences. The first is an operations dashboard where drones perform thermal scans and AI translates scan results into a Kanban-style task list. Fire hotspots become actionable tasks that users can review, prioritize, and update in real time.
The second is a map-based canvas that allows users to draw affected areas and deploy drones to specific regions. This enables visual definition of suppression zones and real-time coordination of drone deployment.
Together, these two modules support monitoring, task management, and spatial deployment within a single workflow, reducing cognitive load and limiting the need for firefighters to operate in high-risk zones.
Dispatch System
AI Analysis
Canvas Feature
