incontinence_alert_analysis
CommunityDetect wet clothing and trigger instant caregiver alerts.
System Documentation
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.
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: incontinence_alert_analysis Download link: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/archive/main.zip#incontinence-alert-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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