CoPilot-AI develops a tactical decision-support system utilizing drones, robotics, and machine learning to manage wildfire events in Ireland. The platform creates a Common Operational Picture by integrating multi-thematic sensor data for improved information-sharing and decision-making among multiple agencies, addressing the challenges of human safety and environmental damage during wildfires.
Funding
Funding not disclosed
Founders
Product
Problem
Wildfires pose a significant threat, causing loss of life, evacuations, and extensive damage to property, infrastructure, and the environment. Current response efforts often involve multiple agencies and departments, facing challenges in coordinating information and making effective decisions in real-time.
Solution
CoPilot-AI develops a tactical decision-support system that leverages drones, robotics, sensors, and machine learning to improve wildfire management. The platform constructs a Common Operational Picture (COP) by integrating multi-thematic sensor data, enabling enhanced information-sharing and decision-making among responding agencies. By employing AI technologies, CoPilot-AI aims to reduce the threat to human life and minimize the economic and environmental impact of wildfires. The system facilitates smart multi-thematic sensor data capture, automated data fusion, and deep learning analysis for more effective responses.
Target Audience
The primary target audience includes government departments, agencies, and external organizations involved in wildfire response, such as the Air Corps and Firefighters.
Features
- In-field drone robotic-sensing platforms for real-time data collection
- Dynamic terrain and scene analysis using computer vision
- Multi-criteria risk modeling for predictive analysis
- Common Operational Picture (COP) web application for data visualization and information sharing
- AI-powered data fusion from multiple sensor sources
- Integration of Earth Observation data for environmental monitoring