Anomaly Detection System for Thermal Imaging
A Thermal Anomaly Recognition System is a sophisticated system designed to identify abnormal temperature fluctuations in visual data. These systems utilize heat-sensing devices to capture heat signatures. Machine learning models are then employed to analyze these signatures and detect any variations that deviate from the normal temperature range.