Elderly Toilet Time Abnormal Detection (>30 min) | 老年人如厕时间异常（超30分钟）识别
v1.0.0Using a camera installed at the bathroom doorway (or inside the bathroom only detecting human silhouettes, without capturing private details), the system uses human detection and entry/exit tracking to identify when an elderly person enters or leaves the toilet and calculates the continuous occupancy time. When occupancy exceeds a preset safety threshold (default 30 minutes), the system outputs an abnormal alert and notifies family members or caregivers to check in time, preventing accidents such as falls, sudden illness (stroke, heart attack) or exhaustion that may prevent the elderly from moving by themselves. Application scenarios: solo-living elder households, nursing homes, senior apartments. The system runs automatically; if the elderly stay in the toilet for more than 30 minutes without coming out, urgent reminders are pushed via app suggesting an on-site check. Skill features: sudden illness or falls during toileting that prevent the elderly from calling for help is a common safety risk. Automatic occupancy-time monitoring helps detect anomalies in time and gain rescue time. Can be integrated into nursing-home management systems or home-security platforms to enhance elderly safety. | 通过在卫生间门口（或内部仅检测人体，不采集隐私细节）安装的摄像头，利用人体检测和进出跟踪技术，识别老年人进入和离开卫生间的时刻，计算连续占用时间。当占用时间超过预设安全阈值（默认30分钟）时，输出异常预警，通知家属或护理人员及时查看，预防老年人因跌倒、突发疾病（如中风、心梗）或体力不支导致的无法自主移动等意外。应用场景：独居老人家庭、养老院、老年公寓。系统自动监测，若老人进入卫生间超过30分钟未出，通过APP推送紧急提醒并建议上门查看。技能特点：老年人如厕时突发疾病或跌倒后无法呼救是常见安全隐患。通过自动监测停留时间，可及时发现异常，争取救援时间。该技能可集成到养老院管理系统或居家安防平台中，提升老人安全保障水平。
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