Using a fixed thermal-imaging camera installed in public areas (e.g., living room, dining room), the system automatically analyzes each person’s skin-surface temperature (usually forehead or facial region) when multiple people gather, and computes the difference between an individual’s temperature and the average temperature of others in the scene. When someone’s temperature is significantly higher than the surrounding group (delta exceeds a preset threshold, e.g., 1.5 °C), it outputs a ‘relative temperature anomaly’ alert and recommends rechecking with a calibrated forehead thermometer. The skill is suitable for family gatherings, small meetings, etc., and aids early screening of people with fever. Application scenarios: family living rooms, meeting rooms, kindergarten activity rooms, nursing-home activity areas. The system monitors in real time; when someone’s temperature is clearly higher than others, it pushes a mobile-app alert to remind attention to health. Skill features: during flu season or epidemics, if a household member has a fever during gatherings, quick screening enables timely precautions. Relative-temperature detection reduces reliance on absolute-temperature calibration, allowing ordinary families to use a thermal-imaging camera for health monitoring. Can be integrated into smart-home security systems to strengthen family health protection.