UBITECH proudly participates in the European research project CYGNUS, contributing its AI expertise to the development of cutting-edge technologies for real-time aerial surveillance and emergency response.
The CYGNUS project demonstrates the integration of advanced UAV (Unmanned Aerial Vehicle) systems with AI-powered situational awareness, enabling fast and accurate detection of human presence and fire events from above. UBITECH leads the design and implementation of AI models that process UAV video feeds in real time, providing actionable insights to first responders and public safety authorities.
AI-Powered Detection – Spotting fire and humans with advanced deep learning.
UBITECH’s AI models are trained to recognize humans and detect active fire zones with high accuracy and speed, even under challenging environmental conditions. The goal is to enhance the responsiveness and efficiency of emergency management in a variety of real-world scenarios such as search-and-rescue, wildfires, and disaster response.
UBITECH’s role focuses on the application of deep learning, computer vision, and edge AI technologies, combining research excellence with deployable innovation.
The CYGNUS project is funded by the European Union under the Horizon Europe programme and brings together a strong consortium of industry leaders, academic institutions, and public safety stakeholders.
Learn more about the project: http://bit.ly/4pXHLM3
