Fish Abnormal Swimming Posture (Side-swim / Upside-down) Detection | 鱼类游动姿态异常（侧游/倒立）识别

Through fixed cameras on aquariums, the system analyzes fish swimming videos and computes the angle between the fish body axis and the horizontal plane (normal fish bodies stay nearly horizontal). When the body tilt exceeds a threshold (default > 30°), the head points downward by > 45° (upside-down), or continuous rotation around the body's longitudinal axis occurs, the swimming posture is flagged as abnormal, and the proportion of abnormal duration over total observation time is recorded. This skill helps early detection of swim bladder disorder, neurological diseases, water poisoning and other health issues, prompting aquarists to intervene promptly. Application scenarios: home aquariums, public aquariums, ornamental fish farms. The system monitors continuously and generates a daily swimming-posture health report. Skill features: abnormal swimming posture is a common symptom of swim bladder disorder, poisoning, and infection. AI-based automatic identification and quantification of abnormal-time ratio helps aquarists detect issues early and take measures such as water change or medication, reducing mortality. This skill can be integrated into smart aquariums or aquarium cameras as a practical tool for aquarists. | 通过鱼缸固定摄像头，分析鱼类的游动视频，检测鱼体轴线与水平面的夹角（正常鱼体基本保持水平），当鱼体倾斜角度超过阈值（默认 > 30°）或出现倒立（头部向下 > 45°）、旋转（绕自身纵轴连续翻转）等异常游姿时，标记为异常，并记录异常时长占观察总时长的比例。该技能有助于早期发现鱼鳔失调、神经系统疾病或水质中毒等健康问题，提醒养鱼爱好者及时干预。应用场景：家庭鱼缸、水族馆、观赏鱼养殖场。系统连续监测，生成每日游姿健康报告。技能特点：鱼类游姿异常是鱼鳔失调、中毒、感染等疾病的常见症状。通过 AI 自动识别并量化异常时间占比，可帮助养鱼者及早发现问题，采取换水、用药等措施，降低死亡率。该技能可集成到智能鱼缸或水族摄像头中，成为养鱼爱好者的实用工具。