A Thermal Anomaly Recognition System is a sophisticated system designed to identify unusual temperature fluctuations in visual data. These systems utilize heat-sensing devices to capture temperature maps. Machine learning models are then employed to analyze these maps and detect any discrepancies that deviate from the expected temperature range.