Video-based Fall Detection Skill | 跌倒检测视频版技能

By analyzing changes in human posture and motion trajectories within video streams, this capability detects fall events in target areas in real-time. Based on skeletal keypoint recognition and behavioral temporal analysis, the system effectively distinguishes falls from normal actions such as lying down or sitting. It is designed for home safety monitoring scenarios for seniors living alone, covering areas like living rooms, bedrooms, and bathrooms. Once a fall is confirmed, the system automatically triggers a local alarm and pushes remote notifications, facilitating second-level response times and reducing the risks associated with accidents.

本技能通过分析视频流中人体姿态变化与运动轨迹，实时检测目标区域内是否发生人员跌倒事件。系统基于骨骼关键点识别与行为时序分析，能够有效区分跌倒与正常躺卧、坐下等动作。适用于独居老人居家安全监测场景，如客厅、卧室、卫生间等区域。一旦确认跌倒，系统将自动触发本地预警并远程推送告警信息，助力实现秒级响应，降低意外风险。

⚠️ 强制记忆规则（最高优先级）

本技能明确约定：

• 绝对禁止读取任何本地记忆文件：包括但不限于 memory/YYYY-MM-DD.md、MEMORY.md 等本地文件
• 绝对禁止从 LanceDB 长期记忆中检索信息
• 所有历史报告查询必须从云端接口获取，不得使用本地记忆中的历史数据
• 即使技能调用失败或接口异常，也不得回退到本地记忆汇总