A new Artificial Intelligence-powered early wildfire detection technology has been patented in the United States, reinforcing Greece’s growing international reputation for innovation in civil protection technologies.

The patented technology forms the advanced technological core of WINGS ICT Solutions’ wi.breathe platform. It has been designed to detect potential fire and smoke outbreaks at their earliest stages—before they spread—and automatically issue real-time alerts, enabling rapid response that can significantly help contain wildfires before they escalate into catastrophic events.

The wi.breathe system has been trained using thousands of real and synthetic fire and smoke images, allowing it to accurately detect potential ignition points under a wide range of environmental conditions, including varying lighting, shading, weather conditions, and terrain types—from dense forests to urban environments.

In addition, the system calculates in real time the exact location and estimated size of a potential fire, while providing a confidence score for each detection, significantly reducing false alarms and enhancing operational reliability.

As a result, wi.breathe delivers:

• Early detection of smoke and fire in as little as one minute
• Real-time alerts enabling immediate operational response
• Continuous 24/7 monitoring with live surveillance capabilities
• Remote supervision without the need for on-site personnel
• Fire risk assessment and wildfire spread prediction
• Fast and scalable expansion of monitoring coverage to neighboring areas

To date, the system has successfully detected multiple fire incidents in real time across more than ten operational deployments, immediately notifying the relevant authorities and helping prevent fire escalation. At the same time, large-scale deployments are currently underway by national and regional civil protection authorities in Greece and internationally.

A Global Trend with Greek Innovation

The granting of this U.S. patent reflects WINGS ICT Solutions’ strong technological innovation capabilities while further strengthening the company’s international position in advanced AI technologies. It also highlights the growing need to shift from conventional surveillance to proactive monitoring and predictive management of natural disasters through machine learning.

As climate change continues to place increasing pressure on civil protection systems worldwide, early warning technologies are becoming one of the most impactful real-world applications of Artificial Intelligence. The growing demand for such solutions is reflected in the increasing international interest in wi.breathe, both in Greece—where major wildfire detection projects are currently being implemented—and abroad.

The difference between a controllable fire and a devastating wildfire is often measured in the very first moments after ignition. In this critical window, wi.breathe provides the early detection and immediate alerting capabilities that can make all the difference.