Thermal Camera and Imaging AI/ML Classification

This project develops AI and machine learning models for analyzing thermal and visual imaging data to enable accurate classification and detection of anomalies. It focuses on non-invasive sensing techniques for applications such as defect detection, monitoring, and predictive analytics in real-world environments.

defect detection using thermal camera methodology
defect detection using thermal camera methodology