How should Child Window/Balcony Climbing Detection | 儿童攀爬窗户/阳台识别 be evaluated before use?

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Child Window/Balcony Climbing Detection | 儿童攀爬窗户/阳台识别

Using fixed cameras in living rooms or child-activity areas (aimed at windows or balconies), AI pose estimation and object detection analyze the video in real time to recognize whether a child is climbing windows, leaning out, or gripping window-sill edges. | 通过家庭客厅或儿童活动区域的固定摄像头（需对准窗户或阳台），利用AI姿态估计和目标检测技术实时分析视频，识别儿童是否发生攀爬窗户、身体探出窗外、抓握窗台边缘等危险行为，当检测到危险动作时立即输出预警，联动手机APP推送警报或触发声光报警器。该技能可有效预防儿童坠楼事故。

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Rank

Safety

Downloads

2.0k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Sep 30, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-window-climbing-detection-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-window-climbing-detection-analysis` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/18072937735/smyx-child-window-climbing-detection-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-child-window-climbing-detection-analys/snapshot"

Documentation

CLAWHUB

143,632 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-child-window-climbing-detection-analysis"
description: "Using fixed cameras in living rooms or child-activity areas (aimed at windows or balconies), AI pose estimation and object detection analyze the video in real time to recognize whether a child is climbing windows, leaning out, or gripping window-sill edges. | 通过家庭客厅或儿童活动区域的固定摄像头（需对准窗户或阳台），利用AI姿态估计和目标检测技术实时分析视频，识别儿童是否发生攀爬窗户、身体探出窗外、抓握窗台边缘等危险行为，当检测到危险动作时立即输出预警，联动手机APP推送警报或触发声光报警器。该技能可有效预防儿童坠楼事故。"
version: "1.0.15"
license: "MIT-0"
---

# 🪟 Child Window/Balcony Climbing Detection | 儿童攀爬窗户/阳台识别
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **儿童攀爬窗户/阳台识别** |
| 🎯 核心目标 | 通过家庭客厅或儿童活动区域的固定摄像头（需对准窗户或阳台），利用AI姿态估计和目标检测技术实时分析视频，识别儿童是否发生攀爬窗户、身体探出窗外、抓握窗台边缘等危险行为，当检测到危险动作时立即输出预警，联动手机APP推送警报或触发声光报警器。该技能可有效预防儿童坠楼事故。 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `SMYX_CHILD_WINDOW_CLIMBING_DETECTION_ANALYSIS` |

Using fixed cameras in living rooms or child-activity areas (aimed at windows or balconies), AI pose estimation and object detection analyze the video in real time to recognize whether a child is climbing windows, leaning out, or gripping window-sill edges. When dangerous actions are detected, the system immediately outputs an alert and pushes notifications to the parents' mobile app or triggers an audible/visual alarm. The skill effectively helps prevent child fall-from-height accidents. Application scenarios: high-rise homes, kindergartens, child activity centers. The system monitors window/balcony zones 24/7; once a child is found climbing or leaning out, urgent notifications (with on-site snapshots) are immediately sent to the parents. Skill features: child fall-from-height accidents occur from time to time, and parents cannot watch 24/7. AI-based automatic recognition of climbing and leaning behaviors enables second-level early warning so parents can stop the child in time and save lives. Can be integrated into smart cameras or home-security systems as a must-have safety feature for families with children.

通过家庭客厅或儿童活动区域的固定摄像头（需对准窗户或阳台），利用AI姿态估计和目标检测技术实时分析视频，识别儿童是否发生攀爬窗户、身体探出窗外、抓握窗台边缘等危险行为，当检测到危险动作时立即输出预警，联动手机APP推送警报或触发声光报警器。该技能可有效预防儿童坠楼事故。应用场景：家庭住宅（高层）、幼儿园、儿童活动中心。系统24小时监测窗户/阳台区域，一旦识别到儿童攀爬或身体探出，立即向家长手机发送紧急通知（含现场快照）。技能特点：儿童坠楼事故时有发生，家长难以24小时盯守。通过AI视觉自动识别攀爬和探出行为，可在事发前秒级预警，帮助家长及时制止，挽救生命。该技能可集成到智能摄像头或家庭安防系统中，成为有孩家庭的标配安全功能。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的儿童居家安全 AI。你的任务是分析固定摄像头对窗户或阳台区域的实时视频，检测儿童是否出现攀爬窗户、身体探出窗外或跨越护栏等危险行为。当危险行为置信度超过阈值时，输出紧急预警。不要提供其他安全建议或具体处置方案，仅输出行为识别结果与预警信息。** |

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals
### 1. 🧩 技能用途

基于对准窗户/阳台的固定摄像头视频，实时识别儿童攀爬、跨栏、探身、抓握窗台等高坠风险行为，秒级输出预警

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 儿童目标检测（区分儿童与成人） |
| 2 | 人体姿态估计 |
| 3 | 攀爬窗户识别 |
| 4 | 跨越护栏识别 |
| 5 | 身体探出窗外识别 |
| 6 | 抓握窗台边缘识别 |
| 7 | 危险姿态判定（失衡 / 单脚悬空 / 头部探出） |
| 8 | 置信度阈值过滤 |
| 9 | 现场快照生成 |

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-child-window-climbing-detection-analysis",
  "version": "1.0.13",
  "publishedAt": 1790788407180
}

references/api_doc.md

# API 接口文档

此处用于存放儿童攀爬窗户/阳台识别 API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动儿童攀爬窗户/阳台识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与紧急预警
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史预警记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_CHILD_WINDOW_CLIMBING_DETECTION_ANALYSIS` - 儿童攀爬窗户/阳台识别

## 输入约束

- 摄像头必须正对窗户、阳台、护栏等高坠风险区域
- 24 小时全天候采集（含红外夜视），覆盖儿童活动半径
- 视频帧率建议 ≥ 15 FPS，确保动作捕捉的实时性

## 关键检测行为

- 攀爬窗户（climbing_window）：脚部蹬踩窗台/扶手
- 跨越护栏（crossing_railing）：身体跨越阳台护栏
- 身体探出窗外（lean_out_window）：上半身越过窗框
- 抓握窗台边缘（grip_window_edge）：手部抓住窗框/护栏外侧
- 危险姿态（risky_posture）：失衡 / 单脚悬空 / 头部探出

## 输出字段（参考）

- `child_detected` - 是否检测到儿童
- `risk_action` - 触发的危险行为类型（climbing_window / crossing_railing / lean_out_window / grip_window_edge / risky_posture）
- `confidence` - 危险行为置信度
- `event_time` - 事件发生时间戳
- `snapshot_url` - 现场快照 URL（建议同步推送 APP）
- `alert_level` - 预警等级（warning / critical / emergency）
- `alert_message` - 紧急预警文本（如"检测到儿童正在攀爬阳台护栏，请立即制止"）

> 仅输出行为识别结果与预警信息，不提供其他安全建议或具体处置方案。

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

{}

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