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fall-detection-video-analysis

Detect fall events from short MP4 video clips for elderly safety monitoring.

Updated May 18, 2026
Search Tags:#API integration#video analysis#real-time monitoring#fall detection#elderly safety#report history
One-click install
npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill fall-detection-video-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fall-detection-video-analysis
Source: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/tree/main/skills/fall-detection-video-analysis
Command: npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill fall-detection-video-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Detecting whether someone has fallen in a monitored area from video is error-prone and delays response; this Skill helps enable safer, faster real-time fall monitoring for seniors living alone.

Core Features & Use Cases

  • Video-based fall detection in target areas: analyzes posture and motion over time to distinguish falls from normal actions like sitting or lying down.
  • Real-time safety monitoring support: designed for home/elder-care scenarios such as living rooms, bedrooms, and bathrooms.
  • Alarm readiness and report history lookup: supports triggering local/remote alerts when a fall is confirmed and provides access to historical analysis reports for follow-up.

Quick Start

Provide a short (about 5 seconds) MP4 video where the person is fully visible within 3–5 meters, and ask to detect whether the elderly person has fallen (include your open-id if requested).

Frequently Asked Questions about fall-detection-video-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does video analysis detect falls for elderly safety monitoring?▼

Video analysis detects falls by analyzing posture and motion over time in a monitored area to distinguish falls from normal actions like sitting or lying down. It processes short single-person clips to produce structured fall results for safety monitoring.

What do I need to run real-time fall detection on a video stream?▼

To run real-time fall detection, you need a short MP4 video where the person is fully visible within 3-5 meters, and an open-id obtained from the specified config flow to execute the provided scripts via python -m.

Can I use fall detection video analysis for elderly care in a living room or bedroom?▼

Yes, fall detection video analysis is designed for home and elderly-care scenarios such as living rooms, bedrooms, and bathrooms, supporting real-time or near-real-time safety monitoring for seniors living alone.

How do I retrieve historical fall detection reports from the cloud API?▼

You retrieve historical fall detection reports by querying the cloud API using your open-id, which returns table-formatted output of past analysis results for follow-up and alarm readiness review.

Does fall detection video analysis work with multiple people in the frame?▼

No, fall detection video analysis is designed for short single-person clips with clear visibility. It requires the person to be fully visible within 3-5 meters to accurately distinguish falls from normal actions.

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