The project implements machine learning and computer vision Algorithms to autonomously identify potential thermal anomalies locations in buildings using data collected by UAVs. The basis of the project main outcomes is with the use of Convolutions and Neural Network models to examine images captured from UAVs autonomously and use the outcome to propose suitable retrofitting strategies to enhance building energy performance.

Through SuperUROP, I want to gain experience in computer vision and basically the recent advances in this particular technology and how it will affect the life of my children in the future.