3.0—AI-Driven Infrared Camera for Extreme Event and Wildfire Thermal Detection

Developed out of research on nanoscale heat transport and plasmonic materials, this infrared sensing platform applies thermal imaging and photonic structures to real-world environmental monitoring. It uses AI-enhanced analysis to detect early-stage wildfires and extreme heat events by identifying subtle thermal anomalies in real time. The system builds on prior work in high-resolution infrared microscopy, now scaled for long-range, field-deployable surveillance. Designed for integration with fixed or mobile infrastructure, it offers a precision tool for accelerating emergency response.

Inventor: Longji Cui (CU Boulder Paul M. Rady Mechanical Engineering)

Potential Applications: Environment and Sustainability