incontinence_alert_analysis

Name: incontinence_alert_analysis
Availability: InStock
Author: smyx-sunjinhui

Detect damp clothing and abnormal excretion from nursing images or videos.

Updated May 18, 2026

Search Tags:#incontinence detection #visual ai #caregiver alert #bedridden monitoring #infant care #nursing report #cloud history queries

Ready to run

npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill incontinence-alert-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: incontinence_alert_analysis
Source: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/tree/main/skills/incontinence-alert-analysis
Command: npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill incontinence-alert-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests>=2.28.0, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill reduces missed care moments by automatically detecting wet clothing and abnormal excretion conditions from camera images or videos, helping caregivers respond faster and prevent skin complications.

Core Features & Use Cases

Smart visual incontinence analysis: Detects damp clothing and potential excretion signals by analyzing visual characteristics and regional changes.
Real-time or regular-check monitoring: Supports both continuous-style monitoring and scheduled inspections.
Care alerts + nursing record output: Produces structured alert reports, caregiver warnings, and cleaning/care suggestions, and can list historical reports via the cloud API.

Use cases: nursing homes, home care, and maternal-infant care for bedridden patients, elderly people with limited self-care, and infants.

Quick Start

Upload a clear video or image of the lower body area and ask the system to run incontinence status detection for a bedridden patient, providing your open-id so it can save and query results.

Frequently Asked Questions about incontinence_alert_analysis

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

FAQPage Schema

How does visual AI incontinence detection work for bedridden patients?▼

Visual AI incontinence detection analyzes uploaded images or videos of lower body areas to identify damp clothing and abnormal excretion indicators. It automatically generates structured alert levels, caregiver warnings, and care suggestions to reduce delayed response times.

How do I set up automated wet clothing alerts for infant care?▼

To set up automated wet clothing alerts, upload a clear video or image of the infant's lower body area and provide your open-id. Running the incontinence analysis script processes the media and returns structured alert levels and care warnings.

Can I use real-time monitoring for elderly incontinence detection?▼

Yes, the incontinence detection system supports both real-time continuous monitoring and scheduled inspections. It analyzes visual characteristics and regional changes from camera feeds to instantly detect damp clothing and trigger caregiver alerts.

Do I need an open-id to generate nursing reports for excretion monitoring?▼

Yes, a valid open-id is required to run the incontinence analysis script. The open-id is used to save detection results and optionally supports listing historical nursing reports via the cloud API.

What are the limitations of visual AI for detecting abnormal excretion?▼

Visual AI detection requires clear images or videos of the lower body area to accurately identify damp clothing. Poor lighting, obscured camera angles, or fully covered patients may limit the system's ability to detect excretion signals and trigger alerts.